RF power harvesting: a review on designing methodologies and applications
© The Author(s) 2017
Received: 8 November 2016
Accepted: 17 February 2017
Published: 28 February 2017
Wireless power transmission was conceptualized nearly a century ago. Certain achievements made to date have made power harvesting a reality, capable of providing alternative sources of energy. This review provides a summ ary of radio frequency (RF) power harvesting technologies in order to serve as a guide for the design of RF energy harvesting units. Since energy harvesting circuits are designed to operate with relatively small voltages and currents, they rely on state-of-the-art electrical technology for obtaining high efficiency. Thus, comprehensive analysis and discussions of various designs and their tradeoffs are included. Finally, recent applications of RF power harvesting are outlined.
KeywordsWireless power harvesting Radio frequency Impedance matching network Voltage multiplier Antenna Wireless sensor networks
Motivation for wireless energy harvesting
RF wireless power harvesting (WPH) holds vast potential for replacing batteries or increasing their lifespans. Currently, batteries power a majority of low-power remote sensor devices and embedded equipment. In fact, batteries have finite lifespans and require periodic replacements. By applying power harvesting technologies, devices and equipment can become self-sustaining with respect to the energy required for operation, thereby obtaining an unlimited operating lifespan. Thus, the demand for power maintenance will become negligible.
The sources for WPH are available in many forms, such as solar power [3–5], wind energy [6–8], thermal energy [9–11], electromagnetic energy [12–14], kinetic energy [15–17], etc. Among them, electromagnetic energy is abundant in space and can be retrieved without limit. Electromagnetic waves come from a variety of sources such as satellite stations, wireless internet, radio stations, and digital multimedia broadcasting. A radio frequency power harvesting system can capture and convert electromagnetic energy into a usable direct current (DC) voltage. The key units of an RF power harvesting system are the antenna and rectifier circuit that allows the RF power or alternating current (AC) to be converted into DC energy.
The processing of battery wastes is a critical problem. A majority of batteries end up in landfills, leading to the pollution of the land and water underneath. The most effective solution for reducing battery wastes is to avoid using them. Applying WPH technology will help to reduce the dependency on batteries, which will ultimately have a positive impact on the environment. Moreover, the process of harnessing electromagnetic energy will not generate wastes as it is a clean energy source.
Overview of alternative sources of energy to replace batteries
Indoor: 10 µW/cm2
Outdoor: 10 mW/cm2
High power density
Not always available
Required exposure to light (not implantable)
Human: 4 µW/cm2
Industrial: 100 µW/cm2
Not always available
Material physical limitation
Human: 30 µW/cm2
Industrial: 1–10 mW/cm2
High power density
Not always available
GSM: 0.1 µW/cm2
WI-FI: 1 mW/cm2
Efficiency inversely proportional to distance
Fundamentals of RF transmission
Understanding electromagnetic waves is important to design an RF WPH system. The behavior of electromagnetic waves varies according to the distance, frequency, and conducting environment. Depending on the requirements of the application, the designer needs to select suitable parameters for electromagnetic waves to obtain best results.
The loss of power in space can be characterized by free space path loss (FSPL), which is the loss of signal power during propagation in free space. Calculating FSPL requires information about the antenna gain, frequency of transmitting wave, and distance between the transmitter and receiver.
By using the path loss equation, it is possible to indicate the signal power at the far field region. However, this equation does not present all the factors that affect the propagation process such as reflection, diffraction, absorption, etc.
In contrast to the uniform far-field wave, the electric and magnetic fields behave unusually in the near-field. The relationship between electric and magnetic waves in the near-field varies unpredictably with time and space and is too complicated to predict. All these factors make estimating the power density at this range problematic.
The FSPL estimation process is critical to design the energy-harvesting unit. Being informed about the amount of power that the system is required to handle helps the designer in choosing the right technology and method.
Since the electromagnetic field (EMF) is widely used for a variety of purposes, there must be a standard to ensure the safe operation of EMF devices. For this purpose, the International Electrotechnical Commission  established international standards and frequency limits for EMFs. For safety measures, there must be a separate emission and immunity standard for each class of application including broadcast, communication, military, medical, and household appliances.
On the other hand, radiation exposure must be considered carefully, especially in biomedical applications. EMFs at different spectrums affect the human body differently. Between 1 MHz to 10 GHz frequency, EMF possibly penetrates through tissues and produce heat because of energy absorption. EMFs over 10 GHz are strongly blocked by the skin, and then the heat created causes damage such as eye cataracts or skin burns if the field density is above 1000 W/m2. Hoping to prevent negative health effects when utilizing EMF applications, the International Commission on Non-Ionizing Radiation Protection (ICNIRP) developed general guidelines for EMF exposure limits recognized under the World Health Organization (WHO). To date, there have been no consistent reports corroborating that lasting exposure to EMF shortens one’s life span or induces adverse health conditions. However, for safety issues, RF emission power and frequency must be considered carefully to avoid unwanted damages.
Wireless power harvesting evaluation metrics
There are various parameters that need to be evaluated, which decide the performance of a WPH design. Evaluation merits change depending on different applications. Nevertheless, critical values such as efficiency, sensitivity, operation distance, output power are defined as standards to make comparisons. However, tradeoffs exist between these values such as operation distance and overall efficiency. Moreover, besides this merit, other manufacturing auxiliary factors like low cost, maturity of fabrication process, and bulk manufacturing availability are also paramount.
Operation distance is mostly related to operation frequency. In fact, transmission at high frequencies is attenuated by atmospheric conditions more than at low frequencies while low frequency penetrates deeper through matter. Therefore, if the application of WPH is for implantable devices, then the transmitting frequency should not exceed the megahertz range.
RF-DC power conversion efficiency (PCE)
This is the ratio between the amount of power applied to the load and that retrieved by the antenna. Generally, the RF-DC PCE covers the efficiency of the rectifier, voltage multiplier, and storage elements. PCE can be simply calculated as the ratio of power delivered to the load to the retrieved power. RF transmission loss in space is not considered in this term.
Resonator Q factor
The threshold voltage of CMOS technology affects sensitivity. A lower threshold CMOS is more sensitive but comes with more leakage current, which reduces the overall efficiency.
Usually, the outcome of a WPH system is DC power, which is characterized by load voltage VDD and current IDD. Measuring open-load voltage demonstrates the performance of WPH in general since VDD and IDD depend on load impedance. If the load is a sensor, VDD is more important than IDD while in applications like electrolysis or LED, current is the dominant parameter.
Recent advances in wireless power harvesting
Preference for a high gain antenna depends on the application requirements. In case of RF transmission, if the positions of source and receiving antennas are known, then a high gain rectenna is advantageous. On the other hand, if the positions of the source and receiving antenna are relatively uncertain, a low gain antenna is preferable in order to collect signals from various directions simultaneously.
The capacitance and inductance are functions of the frequency and physical size of the antenna. The larger the dimensions of the antenna, the lower the resonance frequency. Therefore, transmitting and receiving low frequency waves requires a large aperture, which is not suitable for small device applications. The antenna designed in  has a sensitivity as low as −35 dBm (0.32 µW), but the tradeoff is a large size aperture measuring up to 64.68 cm3 (7 × 7 × 1.32 cm).
Comparison of published work regarding power-harvesting antennas
261 × 5
30% @ 1 µW/cm2
90 × 160
100 × 70
73.9% @ 207 µW/cm2
Dual-linearly polarized patch
70 × 47.5
78% @ 295.3 µW/cm2
8.5% @ −2.46 dBm
40 × 40 × 0.8
70% @ 50 µW/cm2
Π × 6 × 1.584
Patch, metal strip
68 × 34
120 × 40
44.1% @ 0.041 W/m2
70 × 70 × 13.2
55% @ −10 dBm
100 × 100 × 3.8
82.3% @ 22 dBm
1 × 4 quasi-Yagi
300 × 300 × 1.6
40% @ 455 µW/cm2
60 × 60 × 60
48% @ 0 dBm
39% @ 0 dBm
40 × 43
65% @ 10 mW/cm2
46% @ 10 mW/cm2
The plate antennas are popular and have many applications [27, 34, 38]; on-chip antennas are preferred for small and compact applications. Recently, many publications addressed wide-band and multi-band antennas. It has been proven that narrow-band antennas offer high energy conversion efficiencies but can only retrieve a limited amount of energy. On the other hand, wide-band or multi-band frequency antennas can retrieve more RF energy in space. However, the tradeoffs are low overall efficiency and large aperture. In , antennas with a resonance frequency of 4.9 and 5.9 GHz were designed with PCEs of 65.2 and 64.8%, respectively. Further work by Lu et al.  on polarization antennas supports the assertion that expanding the bandwidth of an antenna leads to increasing the amount of power harvested. In this work, the demonstration of broadband polarization antennas with three separate modes allows the antenna to operate in a wider range of frequencies. One common mechanism in the aforementioned works is the control of the antenna configuration by switching the diodes on and off, thus altering its resonant frequencies. However, since it uses separate modes for different frequencies, this antenna is not able to simultaneously resonate at two frequencies. On the other hand, the antenna presented in  is capable of operating at 2.45 and 5.8 GHz, simultaneously, providing 2.6 V output with a PCE of 65% and power density of 10 mW/cm2.
The main purpose of aligning antennas in arrays is to enhance the antenna gain and obtain high voltage/current. Array antennas are preferred over large aperture antennas because they do not require large breakdown voltage diodes to operate. Antenna arrays can be connected before or after rectification. The first configuration enhances the retrieved power at the main beam while the second configuration expands the ability to retrieve power from various angles away from the main beam . In case the RF waves are combined before rectification, the rectifier requires a large breakdown diode. If RF waves are combined after rectification, combining DC current becomes problematic. Antenna arrays can be connected in series or parallel to obtain high voltage or large current. Nonetheless, expanding the arrays yields better output but this might cause a deduction in conversion efficiency .
For demonstrating antenna arrays, Sun et al.  invented a T-junction to connect four quasi-Yagi antennas together. The advancement in this work was that the T-junction was flexible in changing from 1 × 4 array to 2 × 2 array topologies. Consequently, the system was able to operate at an ambient power level as low as 455 µW/cm2 while obtaining 40% PCE.
Impedance matching network
In low-power consumption electrical systems, power leakage during transmission may lead to energy insufficiency. In these circumstances, adding an impedance matching network (IMN) ensures that the maximum power transfers between the RF source and load. For WPH applications, the receiving antenna is considered as the source while the rectifier/voltage multiplier is considered as the load. It is acknowledged that in DC, power transfer is optimum when the resistances of the source and load are indistinguishable. In an RF circuit, the impedance is referred to instead of resistance. An impedance mismatch between the source and load creates reflected power flow in the circuit that lowers the efficiency of the system. As its name indicates, the IMN ensures that the impedance of the source and load are identical by adding reactive components in between.
The T and π matching configurations are more complex than the L network. Furthermore, organizing the T and π configurations into multiple stages will retain the final matching results but will change the Q factor. This strategy is useful in improving voltage boost.
There are tradeoffs between the attributes of an IMN, which include frequency, bandwidth, adjustability, and complexity. For instant, in , the suboptimal impedance matching and multiport ladder matching methods were introduced to enhance the matching performance and harvested power of antennas, respectively. However, the tradeoff was that implementation of these configurations required more components than traditional matching networks, thus, escalating the circuit’s complexity.
Etor et al.  designed an IMN for THz frequencies applications using transmission lines and self-designed metal–insulator-metal diodes instead of lumped components. Moreover, fixed IMN and tunable IMN [43–45] were introduced as a technique for better matching with wide-band and multi-band antennas.
RF energy extracted from free space usually possesses low power density since the electric field power density decreases at the rate of 1/d2, where d is the distance from the RF source . Therefore, a power amplifier circuit is required that yields enough DC energy from the electromagnetic waves to drive the loads. This gives rise to two possibilities, if the power consumption of the load is lower than the average power harvesting, the electronic devices at the load may work continuously; otherwise, if the load consumes more energy than the power harvesting circuit can generate, the devices cannot work continuously .
Rectifying is the most popular application of diodes, which refers to the conversion of AC current to DC current. In terms of power harvesting application, the RF signal retrieved in the antenna has a sinusoidal waveform. The signal after transformation through IMN would be rectified and boosted to meet the power requirements of the application.
Published work comparison regarding voltage multiplier
No. of stage
0.18 µm CMOS
74% @ 2 dBm
40 nm CMOS
44% @ > 390 mV
0.18 µm CMOS
37.42% @ 390 mV
0.18 µm CMOS
67.9% @ 12.8 dBm
250 nm CMOS
0.13 µm CMOS
22.6% @ −16.8 dBm
130 nm CMOS
41% @ −20.6 dBm
The MOSFET (metal–oxide–semiconductor field effect transistor) technology is overcoming the limitations of diodes and becoming an alternate solution for rectifying and boosting. Owing to MOSFET technology, Dickson multiplier can be integrated together in integrate circuits (IC) by replacing diodes with NMOS as shown in Fig. 7c. Relatively low threshold voltages and high PCEs are features of this design. Moreover, differential drive voltage multiplier (Fig. 7d) is widely used because of its low leakage current and potential for further modification for specific applications. A detail explanation and analysis is presented in [49, 50].
There is a strong relationship between the number of stages of a voltage multiplier and its sensitivity and efficiency. As the number of stages increase, there is more loss across each added stage. However, the tradeoff is higher voltage multiplication and small threshold voltage at the first stage. On the other hand, a voltage multiplier with a few stages has less voltage drop between its stages but requires higher threshold voltage for all stages to work simultaneously. For this reason, a voltage multiplier becomes more sensitive when a large number of stages are present and becomes more efficient at fewer stages. This tradeoff feature was analyzed in several researches [53, 58]. Therefore, the optimal number of stages should be considered depending upon the application targets.
Pros and cons of Schottky diode and CMOS technology
Rectifying elements such as diodes or transistors are indispensable components of the rectifier/voltage multiplier block, which determine operation frequency and power-conversion efficiency. Traditionally, a Schottky diode was used because of its low threshold voltage. Moreover, there are also Esaki (tunnel) diodes, metal–insulator–metal (MIM) diodes, and spin diodes with recent technology enhancements that make it more mature. Particularly, the Esaki diode can operate at very high frequency with fast response because of its low parasitic elements. Moreover, the MIM diodes technology makes integration with CMOS process possible, which is a limitation of Schottky diodes. Spin diodes offer lower threshold voltages than Schottky diodes.
There are several parameters that need to be considered when choosing a diode for designing a voltage multiplier. These include RF to DC power conversion efficiency, parasitic efficiency, and matching efficiency. When it comes to microwatt applications, Schottky diodes face some limitation in RF-DC conversion efficiency because of their high zero-bias junction resistance . However, owing to recent developments in technology, if the retrieved power is less than −30 dBm (1 µW), then the low-barrier SMS7630 and VDI W-Band ZBD diodes are recommended due to their low parasitic power losses and low power dissipation in the matching network .
Recently, many publications have moved toward CMOS processes, since they not only assist in custom designing in electronics but are also more sensitive to low operation voltages than traditional Schottky diodes. Many researches focus on modifying present rectifier and voltage multiplier topologies to achieve higher gain, sensitivity, efficiency [52, 55–57, 61]. For instance, the voltage multiplier achieved maximum 11% PCE at −24 dBm (4 µW) in  and 41% PCE at −20.6 dBm (8.7 µW) input power in . While the majority of publications utilized 0.18 µm CMOS technology in their work,  applied commercial 40 nm CMOS process to build a low-voltage operation voltage multiplier that reached 44% PCE at 390 mV input. Hwang et al.  applied reducing reverse loss to minimize the reverse leakage loss in the rectifier, thus increasing the overall efficiency.
Similar to Schottky diodes, the number of stages directly dictates the performance efficiency in the task of designing a custom CMOS voltage multiplier. A basic assumption when using transistors is that the retrieved RF signal from the antenna must be high enough to trigger the transistors on and off. Different voltage multiplier topologies possess different features and characteristics. However, as long as transistors are used in the design, there is considerable amount of voltage drop among transistors. It has been observed that the major cause of rectified voltage drop is the threshold loss. If the number of stages increases, the threshold voltage at the transistors also adds up, requiring the higher amplitude RF signal to trigger the transistors . Therefore, the number of stages in the majority of publications usually does not exceed 10.
Designing and optimizing the WPH system
Firstly, choosing the appropriate operation frequency to the application’s requirement critically dictates the efficiency of the WPH system. Secondly, the operation range also need to be specified. Long range (far-field) power harvesting or transmission requires high frequency such as 2.45, 5.24 GHz, whereas short range (near-field) applications requires electromagnetic waves at frequencies in the megahertz range. Additionally, for power harvesting in dense environment different from air, very low frequency (~kHz) is preferable. Besides the operation frequency and distance, the required output power and voltage determines the suitable topology of the voltage multiplier.
Based on the operation and application, the antenna’s design has to match the gain, frequency and size. Choosing the right rectifying element is also critical. For rectifier and voltage multiplier modules in general, the dependence of RF-DC PCE on frequency and output load was discussed in . In addition, it is obligated to have a correct-tuned IMN for maximum power transfer inside the WPH circuit.
Detailed features of individual modules of the WPH system are explained and discussed in the previous sections. The problem of optimizing the WPH system becomes the game of defining the goals and integrating individual modules in harmony to archive the goal.
RF power harvesting in medical and healthcare
In order to deploy WPH in the real world, power consumption rate of the device should be less than the harvested power. Since retrieved power is unstable and difficult to predict, an energy storage module is highly recommended to enhance its consistency. If the WPH is integrated to the device as a single system on chip, the total size of the system would be reduced significantly.
Power consumption of published SoC devices
Operation voltage (V)
Chip power (µW)
Intraocular pressure (IOP)
0.5 × 1.5 × 2.5
7 × 7
5 × 4.7
ECG, EMG, EEG
2.5 × 3.3
ECG, thoracic impedance variance (TIV)
5 × 5
2.5 × 2.5
2.2 × 2.7
Neural, ECG, EMG, EEG
2.5 × 1
It is a fact that a considerable amount of TV broadcast signals never reach the TV. Fortunately, WPH technology can harness this wasted energy without causing any effect on the TV broadcasting quality. In this context, Nishimoto et al.  have explored this potential source of energy to remove batteries from temperature monitoring WSNs. Since the power density of TV broadcasts is relatively weak, an array antenna was designed to collect multi-frequency waves. Compared to the antenna array designed in , the antenna rectifying efficiency obtained was higher by 50% in the frequencies between 15 and 800 MHz. This design is reported to successfully measure and transmit data every 5 s.
In some research experiments where free movement is unavoidable, stimulation signal and response data has to be delivered and collected wirelessly. In these circumstances, RF WPH is a superior choice in comparison with inductive coupling transmission technology to power the wireless system. Cobo et al. designed an implantable micro-pump that is powered by inductive coupling coils. Even though this work has obtained high efficiency power transmission, the operation range is limited to a few centimeters from the source. On the other hand, in , the RF electromagnetic waves were deployed to power optogenetic microneedles to be wirelessly injected into mice. The design of WPH in this work was able to retrieve 4.08 mW power at a distance of 1 m from the 7.9 W source at a frequency of 910 MHz. Another rectenna was built for mounting on the mice’ heads for deep brain stimulation (DBS) devices . In this system, the power-harvesting module retrieves 0.254 mW DC power at a maximum operation distance of 20 cm. With this available power, the DBS device generates 200 µA pulses at 130 Hz. The above results show that RF WPH technology offers a better operation range than traditional inductive coupling power transmission technology. It is now possible to harvest sufficient power to run low-power consumption devices in the range of meters. The noninvasive bio-telemetry system for monitoring and investigating various health indexes is a promising field for WPH technology. Cheng et al.  introduced a power harvesting design that included a loop antenna to be attached to the pig eye with 31% PCE and output power up to 2.10 mW. Additionally, in vivo experiments, using WPH technology to supply medical devices for implantation in rapid eyes was demonstrated without recorded side effects [63, 75].
Wireless power harvesting network (IoT/WSN)
Along with the development of the micro-electro-mechanical systems (MEMS) technology, wireless sensor networks have gained widespread popularity in recent years. This field has achieved several milestones and is still developing further. WSNs applications widespread from smart house, healthcare to industry and military. In addition to the issues of sensing reliability, communication protocol, and network services, energy is a critical concern in WSNs . Sensor nodes of WSNs are low power devices, and minimization of energy consumption and application of WPH to replenish power storage elements are two concurrent schemes to maximize the network lifespan. Recently, several researches were done to find optimized approaches to power WSNs including RF power harvesting [77–81].
Energy is the greatest challenge in deploying WSNs . Applying RF energy to recharge the batteries is one approach to enhance the lifespan of WSNs [83, 84]. Lee et al.  is an example of an RF charger utilizing WPH technology. The system was able to work with a minimum input power of −10 dBm (0.1 mW) in the frequency range from 1.96 to 1.98 GHz to charge a 5 V super-capacitor. Maximum RF to DC power conversion efficiency is 81% at 6 dBm (3.98 mW). Gudan et al.  also designed a WPH system to charge a NiMH battery using either ambient Wi-Fi or Bluetooth signals. With the sensitivity down to −20 dBm, this system was capable of charging a battery to 5.8 µJ after 1 h.
State-of-the-art published sensors for WSNs
Total power consumption (mW)
Supplied voltage (V)
Tire pressure monitoring
Blood pulses monitoring, small vibration recording
RFID, implantable devices
Room temperature monitoring
DC power source
Smart phone gas sensor, air monitor
Furthermore, placement of power transmitters and sensor nodes in WSNs also play a critical role in the efficiency of the system [94–96]. To enhance directivity of RF transmissions, Shao et al.  proposed a beam-steered antenna array to direct its main beam toward energy harvesting units. By controlling the length of transmission line to each antenna unit in an array, the phase radiating difference between units created shift in the main beam. By this way, the harvesting unit remains fed with energy even it was misaligned with the source by 35°. Using the harvesting unit presented in  as a demonstration, within 1 min, this system was able to harvest 68.7 µJ at 0° and 13.6 µJ at 35° at a distance of 2 m from the beam-steered source antenna array.
This paper summarized the state-of-the-art of RF power harvesting technology in recent years. This technology will play a key role in replacing batteries in the near future. Some applications of RF power harvesting have been practically realized. A basic RF power-harvesting unit includes three main modules: the antenna, IMN, and voltage multiplier. The total efficiency of the system is dictated by the harmony in the integration of all the modules. The designs and principles of each module were also discussed in the paper.
The RF electromagnetic waves are harmless, abundant in space, and is able to penetrate through soft tissues. Those are properties that make RF electromagnetic waves an alternative source of energy to replace batteries in many applications. Particularly, RF power harvesting supports low-power medical and healthcare devices and facilitates the development of WSNs and IoT by providing mobility of use. Additionally, the progress in integrating RF power harvesting circuits into CMOS technology creates a completely wireless SoC.
Besides progressive accomplishment in recent years, there are still a variety of rooms to further optimize the RF power harvesting technology such as increasing operation range, reducing transmission loss, optimizing PCE, and minimizing system dimensions are the targets of RF power harvesting research. Furthermore, research focusing on harsh working environments for RF WPH such as implantation conditions or underwater zones is attracting much attention to extend the capabilities of this technology. A fine manufacturing and packing process with cost-effective production is necessary to make this technology mature.
In short, the RF WPH technology is gradually becoming a reality. Although this technology still faces many issues, overcoming these challenges can lead the power industry into a new era of clean and sustainable energy.
LGT carried out literature search and wrote the manuscript. HKC and WTP reviewed/edited the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
This work was supported by Grant No. 10060065 from the Industrial Source Technology Development Programs of the MOTIE (Ministry Of Trade, Industry and Energy), Korea. This work was also supported by the Radiation Technology R&D program through the National Research Foundation of Korea funded by the Ministry of Science, ICT & Future Planning (NRF-2013M2A2A9043274).
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- Brown WC (1996) The history of wireless power transmission. Solar Energy 56:3–21View ArticleGoogle Scholar
- Brown WC (1969) Experiments involving a microwave beam to power and position a helicopter. IEEE Trans Aerosp Electron Syst AES-5:692–702View ArticleGoogle Scholar
- Raghunathan V, Kansal A, Hsu J, Friedman J, Srivastava M (2005) Design considerations for solar energy harvesting wireless embedded systems. In: Proceedings of the 4th international symposium on Information processing in sensor networks, p 64
- Brunelli D, Benini L, Moser C, Thiele L (2008) An efficient solar energy harvester for wireless sensor nodes. In: 2008 design, automation and test in europe, pp 104–109
- Abdin Z, Alim MA, Saidur R, Islam MR, Rashmi W, Mekhilef S et al (2013) Solar energy harvesting with the application of nanotechnology. Renew Sustain Energy Rev 26:837–852View ArticleGoogle Scholar
- Ackermann T, Söder L (2000) Wind energy technology and current status: a review. Renew Sustain Energy Rev 4:315–374View ArticleGoogle Scholar
- GM Joselin Herbert, S. Iniyan, E. Sreevalsan, and S. Rajapandian, “A review of wind energy technologies,” Renewable and Sustainable Energy Reviews, vol. 11, pp. 1117-1145, 8//2007
- Şahin AD (2004) Progress and recent trends in wind energy. Prog Energy Combust Sci 30:501–543View ArticleGoogle Scholar
- Xin L, Shuang-Hua Y (2010) Thermal energy harvesting for WSNs. In: 2010 IEEE international conference on systems man and cybernetics (SMC), pp 3045–3052
- Dalola S, Ferrari V, Marioli D (2010) Pyroelectric effect in PZT thick films for thermal energy harvesting in low-power sensors. Procedia Eng 5:685–688View ArticleGoogle Scholar
- Cuadras A, Gasulla M, Ferrari V (2010) Thermal energy harvesting through pyroelectricity. Sens Actuators A Phys 158:132–139View ArticleGoogle Scholar
- Cao X, Chiang WJ, King YC, Lee YK (2007) Electromagnetic energy harvesting circuit with feedforward and feedback DC–DC PWM boost converter for vibration power generator system. IEEE Trans Power Electron 22:679–685View ArticleGoogle Scholar
- Beeby SP, Torah RN, Tudor MJ, Glynne-Jones P, Donnell TO, Saha CR et al (2007) A micro electromagnetic generator for vibration energy harvesting. J Micromech Microeng 17:1257View ArticleGoogle Scholar
- Yang B, Lee C, Xiang W, Xie J, He JH, Kotlanka RK, Low SP, Feng H (2009) Electromagnetic energy harvesting from vibrations of multiple frequencies. J Micromech Microeng 19:035001View ArticleGoogle Scholar
- Beeby SP, Tudor MJ, White NM (2006) Energy harvesting vibration sources for microsystems applications. Meas Sci Technol 17:R175View ArticleGoogle Scholar
- Challa VR, Prasad M, Shi Y, Fisher FT (2008) A vibration energy harvesting device with bidirectional resonance frequency tunability. Smart Mater Struct 17:015035View ArticleGoogle Scholar
- Khaligh A, Zeng P, Zheng C (2010) Kinetic energy harvesting using piezoelectric and electromagnetic technologies—state of the art. IEEE Trans Ind Electron 57:850–860View ArticleGoogle Scholar
- Vullers RJM, van Schaijk R, Doms I, Van Hoof C, Mertens R (2009) Micropower energy harvesting. Solid-State Electron 53:684–693View ArticleGoogle Scholar
- Akhtar F, Rehmani MH (2015) Energy replenishment using renewable and traditional energy resources for sustainable wireless sensor networks: a review. Renew Sustain Energy Rev 45:769–784View ArticleGoogle Scholar
- Yaghjian A (1986) An overview of near-field antenna measurements. IEEE Trans Antennas Propag 34:30–45View ArticleGoogle Scholar
- Chen G, Ghaed H, Haque RU, Wieckowski M, Kim Y, Kim G et al (2011) A cubic-millimeter energy-autonomous wireless intraocular pressure monitor. In: 2011 IEEE international solid-state circuits conference, 2011, pp 310–312
- Harlow JH (2004) Electric power transformer engineering. CRC Press, Boca RatonGoogle Scholar
- Lee TH (2004) The design of cmos radio-frequency integrated circuits. Commun Eng 2:47Google Scholar
- Song C, Huang Y, Zhou J, Zhang J, Yuan S, Carter P (2015) A high-efficiency broadband rectenna for ambient wireless energy harvesting. IEEE Trans Antennas Propag 63:3486–3495MathSciNetView ArticleGoogle Scholar
- Momenroodaki P, Fernandes RD, Popovi Z (2016) Air-substrate compact high gain rectennas for low RF power harvesting. In: 2016 10th European conference on antennas and propagation (EuCAP), pp 1–4
- Lu P, Yang XS, Li JL, Wang BZ (2016) Polarization reconfigurable broadband rectenna with tunable matching network for microwave power transmission. IEEE Trans Antennas Propag 64:1136–1141View ArticleGoogle Scholar
- Sun H (2016) An enhanced rectenna using differentially-fed rectifier for wireless power transmission. IEEE Antennas Wirel Propag Lett 15:32–35Google Scholar
- Sun H, Geyi W (2016) A new rectenna with all-polarization-receiving capability for wireless power transmission. IEEE Antennas Wirel Propag Lett 15:814–817View ArticleGoogle Scholar
- Zhu P, Ma Z, Vandenbosch GAE, Gielen G (2015) 160 GHz harmonic-rejecting antenna with CMOS rectifier for millimeter-wave wireless power transmission. In: 2015 9th European conference on antennas and propagation (EuCAP), pp 1–5
- Zhang J, Wu ZP, Liu CG, Zhang BH, Zhang B (2015) A double-sided rectenna design for RF energy harvesting. In: 2015 IEEE international wireless symposium (IWS), pp 1–4
- Hosain MK, Kouzani AZ, Samad MF, Tye SJ (2015) A miniature energy harvesting rectenna for operating a head-mountable deep brain stimulation device. IEEE Access 3:223–234View ArticleGoogle Scholar
- Lu P, Yang XS, Li JL, Wang BZ (2015) A compact frequency reconfigurable rectenna for 5.2- and 5.8-GHz wireless power transmission. IEEE Trans Power Electron 30:6006–6010View ArticleGoogle Scholar
- Matsunaga T, Nishiyama E, Toyoda I (2015) 5.8-GHz stacked differential rectenna suitable for large-scale rectenna arrays with DC connection. IEEE Trans Antennas Propag 63:5944–5949MathSciNetView ArticleGoogle Scholar
- Chou JH, Lin DB, Weng KL, Li HJ (2014) All polarization receiving rectenna with harmonic rejection property for wireless power transmission. IEEE Trans Antennas Propag 62:5242–5249View ArticleGoogle Scholar
- Sun H, Guo Y, He M, Zhong Z (2013) A dual-band rectenna using broadband yagi antenna array for ambient RF power harvesting. IEEE Antennas Wirel Propag Lett 12:918–921View ArticleGoogle Scholar
- Niotaki K, Kim S, Jeong S, Collado A, Georgiadis A, Tentzeris MM (2013) A compact dual-band rectenna using slot-loaded dual band folded dipole antenna. IEEE Antennas Wirel Propag Lett 12:1634–1637View ArticleGoogle Scholar
- Hucheng S, Yong-Xin G, Miao H, Zheng Z (2012) Design of a high-efficiency 2.45-GHz rectenna for low-input-power energy harvesting. IEEE Antennas Wirel Propag Lett 11:929–932View ArticleGoogle Scholar
- Olgun U, Chen CC, Volakis JL (2010) Wireless power harvesting with planar rectennas for 2.45 GHz RFIDs. In: 2010 URSI international symposium on electromagnetic theory (EMTS), pp 329–331
- Ren YJ, Farooqui MF, Chang K (2007) A compact dual-frequency rectifying antenna with high-orders harmonic-rejection. IEEE Trans Antennas Propag 55:2110–2113View ArticleGoogle Scholar
- Olgun U, Chen CC, Volakis JL (2011) Investigation of rectenna array configurations for enhanced RF power harvesting. IEEE Antennas Wirel Propag Lett 10:262–265View ArticleGoogle Scholar
- Shen S, Murch RD (2016) Impedance matching for compact multiple antenna systems in random RF fields. IEEE Trans Antennas Propag 64:820–825MathSciNetView ArticleGoogle Scholar
- Etor D, Dodd LE, Wood D, Balocco C (2015) Impedance matching at THz frequencies: optimizing power transfer in rectennas. In: 2015 40th international conference on infrared, millimeter, and terahertz waves (IRMMW-THz), pp 1–2
- Hoarau C, Corrao N, Arnould JD, Ferrari P, Xavier P (2008) Complete design and measurement methodology for a tunable RF impedance-matching network. IEEE Trans Microw Theory Tech 56:2620–2627View ArticleGoogle Scholar
- Marrocco G (2008) The art of UHF RFID antenna design: impedance-matching and size-reduction techniques. IEEE Antennas Propag Mag 50:66–79View ArticleGoogle Scholar
- Mingo JD, Valdovinos A, Crespo A, Navarro D, Garcia P (2004) An RF electronically controlled impedance tuning network design and its application to an antenna input impedance automatic matching system. IEEE Trans Microw Theory Tech 52:489–497View ArticleGoogle Scholar
- Hatay M (1980) Empirical formula for propagation loss in land mobile radio services. IEEE Trans Veh Technol 29:317–325View ArticleGoogle Scholar
- Radiom S, Vandenbosch G, Gielen G (2008) Impact of antenna type and scaling on scavenged voltage in passive RFID tags. In: International workshop on antenna technology: small antennas and novel metamaterials, 2008. iWAT 2008, pp 442–445
- Gosset G, Flandre D (2011) Fully-automated and portable design methodology for optimal sizing of energy-efficient CMOS voltage rectifiers. IEEE J Emerg Sel Top Circuits Syst 1:141–149View ArticleGoogle Scholar
- Facen A, Boni A (2007) CMOS power retriever for UHF RFID tags. Electron Lett 43:1424View ArticleGoogle Scholar
- Kotani K, Sasaki A, Ito T (2009) High-efficiency differential-drive CMOS rectifier for UHF RFIDs. IEEE J Solid-State Circuits 44:3011–3018View ArticleGoogle Scholar
- Chouhan SS, Nurmi M, Halonen K (2016) Efficiency enhanced voltage multiplier circuit for RF energy harvesting. Microelectron J 48:95–102View ArticleGoogle Scholar
- Wang W, Xiangjie C, Wong H (2015) Analysis and design of CMOS full-wave rectifying charge pump for RF energy harvesting applications. In: 2015 IEEE Region 10 conference TENCON 2015, pp 1–4
- Rodriguez AN, Cruz FRG, Ramos RZ (2015) Design of 900 Mhz AC to DC converter using native Cmos device of TSMC 0.18 micron technology for RF energy harvest application. Univers J Electr Electron Eng 3:7Google Scholar
- Hwang YS, Lei CC, Yang YW, Chen JJ, Yu CC (2014) A 13.56-MHz low-voltage and low-control-loss RF-DC rectifier utilizing a reducing reverse loss technique. IEEE Trans Power Electron 29:6544–6554View ArticleGoogle Scholar
- Haddad PA, Gosset G, Raskin JP, Flandre D (2014) Efficient ultra low power rectification at 13.56 MHz for a 10 µA load current. In: 2014 SOI-3D-subthreshold microelectronics technology unified conference (S3S), pp 1–2
- Hameed Z, Moez K (2014) Hybird forward and backward threshold-compensated RF-DC power converter for RF energy harvesting. IEEE J Eng Sel Top Circuits Syst 4:9Google Scholar
- Karolak D, Taris T, Deval Y, Béguéret JB et al (2012) Design comparison of low-power rectifiers dedicated to RF energy harvesting. In: 2012 19th IEEE international conference on electronics, circuits and systems (ICECS), pp 524–527
- Kadupitiya JCS, Abeythunga TN, Ranathunga PDMT, De Silva DS (2015) Optimizing RF energy harvester design for low power applications by integrating multi stage voltage doubler on patch antenna. In: 2015 8th international conference on Ubi-Media computing (UMEDIA), pp 335–338
- Hemour S, Zhao Y, Lorenz CHP, Houssameddine D, Gui Y, Hu CM et al (2014) Towards low-power high-efficiency RF and microwave energy harvesting. IEEE Trans Microw Theory Tech 62:965–976View ArticleGoogle Scholar
- Lorenz CHP, Hemour S, Wu K (2016) Physical mechanism and theoretical foundation of ambient RF power harvesting using zero-bias diodes. IEEE Trans Microw Theory Tech 64:2146–2158View ArticleGoogle Scholar
- Sun H, Xu G (2015) A differentially-driven rectifier for enhanced RF power harvesting. In: 2015 IEEE MTT-S international microwave workshop series on advanced materials and processes for RF and THz applications (IMWS-AMP), pp 1–3
- Papotto G, Carrara F, Palmisano G (2011) A 90-nm CMOS threshold-compensated RF energy harvester. IEEE J Solid-State Circuits 46:1985–1997View ArticleGoogle Scholar
- Lingley AR, Ali M, Liao Y, Mirjalili R, Klonner M, Sopanen M et al (2011) A single-pixel wireless contact lens display. J Micromech Microeng 21:125014View ArticleGoogle Scholar
- Zhang Y, Zhang F, Shakhsheer Y, Silver JD, Klinefelter A, Nagaraju M et al (2013) A batteryless 19 W MICS/ISM-band energy harvesting body sensor node SoC for ExG applications. IEEE J Solid-State Circuits 48:199–213View ArticleGoogle Scholar
- Helleputte NV, Konijnenburg M, Pettine J, Jee DW, Kim H, Morgado A et al (2015) A 345 uW multi-sensor biomedical SoC with bio-impedance, 3-channel ECG, motion artifact reduction, and integrated DSP. IEEE J Solid-State Circuits 50:230–244View ArticleGoogle Scholar
- Kim H, Kim S, Helleputte NV, Artes A, Konijnenburg M, Huisken J et al (2014) A configurable and low-power mixed signal SoC for portable ECG monitoring applications. IEEE Trans Biomed Circuits Syst 8:257–267View ArticleGoogle Scholar
- Yan L, Bae J, Lee S, Roh T, Song K, Yoo HJ (2011) A 3.9 mW 25-electrode reconfigured sensor for wearable cardiac monitoring system. IEEE J Solid-State Circuits 46:353–364View ArticleGoogle Scholar
- Verma N, Shoeb A, Bohorquez J, Dawson J, Guttag J, Chandrakasan AP (2010) A micro-power EEG acquisition SoC with integrated feature extraction processor for a chronic seizure detection system. IEEE J Solid-State Circuits 45(4):804–816View ArticleGoogle Scholar
- Chen G, Fojtik M, Kim D, Fick D, Park J, Seok M et al. (2010) Millimeter-scale nearly perpetual sensor system with stacked battery and solar cells. In: 2010 IEEE international solid-state circuits conference—(ISSCC), pp 288–289
- Rai S, Holleman J, Pandey JN, Zhang F, Otis B (2009) A 500 µW neural tag with 2 µVrms AFE and frequency-multiplying MICS/ISM FSK transmitter. In: 2009 IEEE international solid-state circuits conference—digest of technical papers, pp 212–213
- Nishimoto H, Kawahara Y, Asami T (2010) Prototype implementation of ambient RF energy harvesting wireless sensor networks. In: Sensors, 2010 IEEE, pp 1282–1287
- Shinohara N, Kawasaki S (2009) Recent wireless power transmission technologies in Japan for space solar power station/satellite. In: 2009 IEEE radio and wireless symposium, pp 13–15
- Kim T-I, McCall JG, Jung YH, Huang X, Siuda ER, Li Y et al (2013) Injectable, cellular-scale optoelectronics with applications for wireless optogenetics. Science 340:211–216View ArticleGoogle Scholar
- Cheng HW, Yu TC, Huang HY, Ting SH, Huang TH, Chiou JC et al (2014) Design of miniaturized antenna and power harvester circuit on the enucleated porcine eyes. IEEE Antennas Wirel Propag Lett 13:1156–1159View ArticleGoogle Scholar
- Chow EY, Yang CL, Ouyang Y, Chlebowski AL, Irazoqui PP, Chappell WJ (2011) Wireless powering and the study of RF propagation through ocular tissue for development of implantable sensors. IEEE Trans Antennas Propag 59:2379–2387View ArticleGoogle Scholar
- Yick J, Mukherjee B, Ghosal D (2008) Wireless sensor network survey. Comput Netw 52:2292–2330View ArticleGoogle Scholar
- Correia R, Carvalho NB, Kawasaki S (2016) Continuously power delivering for passive backscatter wireless sensor networks. IEEE Trans Microw Theory Tech 64:3723–3731View ArticleGoogle Scholar
- Praveen MP, Mehta NB (2016) Trade-offs in analog sensing and communication in RF energy harvesting wireless sensor networks. In: 2016 IEEE international conference on communications (ICC), pp 1–6
- Collado A, Georgiadis A (2014) Optimal waveforms for efficient wireless power transmission. IEEE Microwave Wirel Compon Lett 24:354–356View ArticleGoogle Scholar
- Zhao Y, Chen B, Zhang R (2013) Optimal power allocation for an energy harvesting estimation system. In: 2013 IEEE international conference on acoustics, speech and signal processing, pp 4549–4553
- Ruisi G, Hong P, Zhibin L, Na G, Jinhui W, Xiaowei C (2016) RF-powered battery-less wireless sensor network in structural monitoring. In: 2016 IEEE international conference on electro information technology (EIT), pp 0547–0552
- Seah WKG, Eu ZA, Tan HP (2009) Wireless sensor networks powered by ambient energy harvesting (WSN-HEAP)—survey and challenges. In: 2009 1st international conference on wireless communication, vehicular technology, information theory and aerospace and electronic systems technology, pp 1–5
- Jabbar H, Song YS, Jeong TT (2010) RF energy harvesting system and circuits for charging of mobile devices. IEEE Trans Consum Electron 56:247–253View ArticleGoogle Scholar
- Che W, Chen W, Meng D, Wang X, Tan X, Yan N et al (2010) Power management unit for battery assisted passive RFID tag. Electron Lett 46:589–590View ArticleGoogle Scholar
- Lee JH, Jung WJ, Jung JW, Jang JE, Park JS (2015) A matched RF charger for wireless RF power harvesting system. Microw Opt Technol Lett 57:1622–1625View ArticleGoogle Scholar
- Gudan K, Chemishkian S, Hull JJ, Thomas SJ, Ensworth J, Reynolds MS (2014) A 2.4 GHz ambient RF energy harvesting system with −20 dBm minimum input power and NiMH battery storage. In: RFID technology and applications conference (RFID-TA), 2014 IEEE, pp 7–12
- Nagaraju MB, Lingley AR, Sridharan S, Gu J, Ruby R, Otis BP (2015) A 0.8 mm3 ± 0.68 psi single-chip wireless pressure sensor for TPMS applications. In: 2015 IEEE international solid-state circuits conference—(ISSCC) digest of technical papers, pp 1–3
- Gong S, Schwalb W, Wang Y, Chen Y, Tang Y, Si J et al (2014) A wearable and highly sensitive pressure sensor with ultrathin gold nanowires. Nat Commun 5:3132Google Scholar
- Souri K, Chae Y, Makinwa KAA (2013) A CMOS temperature sensor with a voltage-calibrated inaccuracy of ±0.15 °C (3σ) from −55 °C to 125 °C. IEEE J Solid-State Circuits 48:292–301View ArticleGoogle Scholar
- Aita AL, Pertijs MAP, Makinwa KAA, Huijsing JH, Meijer GCM (2013) Low-power CMOS smart temperature sensor with a batch-calibrated inaccuracy of ±0.25 °C (±3σ) from −70 °C to 130 °C. IEEE Sens J 13:1840–1848View ArticleGoogle Scholar
- Jeong S, Foo Z, Lee Y, Sim JY, Blaauw D, Sylvester D (2014) A fully-integrated 71 nW CMOS temperature sensor for low power wireless sensor nodes. IEEE J Solid-State Circuits 49:1682–1693View ArticleGoogle Scholar
- Moon SE, Lee HK, Choi NJ, Kang HT, Lee J, Ahn SD et al (2015) Low power consumption micro C2H5OH gas sensor based on micro-heater and ink jetting technique. Sens Actuators B Chem 217:146–150View ArticleGoogle Scholar
- Zhou Q, Sussman A, Chang J, Dong J, Zettl A, Mickelson W (2015) Fast response integrated MEMS microheaters for ultra low power gas detection. Sens Actuators A Phys 223:67–75View ArticleGoogle Scholar
- Erol-Kantarci M, Mouftah HT (2012) Mission-aware placement of RF-based power transmitters in wireless sensor networks. In: 2012 IEEE symposium on computers and communications (ISCC), pp 000012–000017
- He S, Chen J, Jiang F, Yau DKY, Xing G, Sun Y (2013) Energy provisioning in wireless rechargeable sensor networks. IEEE Trans Mob Comput 12:1931–1942View ArticleGoogle Scholar
- Li Y, Fu L, Chen M, Chi K, Zhu YH (2015) RF-based charger placement for duty cycle guarantee in battery-free sensor networks. IEEE Commun Lett 19:1802–1805View ArticleGoogle Scholar
- Shao S, Gudan K, Hull JJ (2016) A mechanically beam-steered phased array antenna for power-harvesting applications [Antenna Applications Corner]. IEEE Antennas Propag Mag 58:58–64View ArticleGoogle Scholar
- Gudan K, Shao S, Hull JJ, Ensworth J, Reynolds MS (2015) Ultra-low power 2.4 GHz RF energy harvesting and storage system with −25 dBm sensitivity. In: 2015 IEEE international conference on RFID (RFID), pp 40–46