Feasibility study on ambient RF energy harvesting for wireless sensor network and related articles
Conference Paper · December 2013 with 109 Reads
Conference: 2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO)Cite this publication
Abstract
RF energy harvesting holds a promising future for generating a small amount of energy to potentially power on a low power device such as wireless sensor network especially in an urban country like Singapore. Due to path loss and restriction on permissible transmission power; the RF power available to the input of the RF energy harvesting system is relative low. In this work, we present a study of ambient RF energy harvesting. We also explore to determine whether another emerging technology wireless power transfer can be integrated with RF energy harvesting. A measurement of the ambient RF power density on GSM 900 and GSM 1800 bands in Nanyang Polytechnic of Singapore is presented. From our conclusion, the harvested energy is not able to directly power the wireless sensor network; however the harvested energy can be stored in a super-capacitor and over some time it can be used to power on the wireless sensor network. So, is RF energy harvesting ever going to become a practical reality? The answer is a cautious yes.
Citations (35)
References (9)
... They present data collected from various locations providing a valuable insight in the trends of RF power distribution. This data is summarized in at Nanyang Polytechnic, Singapore [10] . Their data is summarized in Table 2.3. ...
... Their data is summarized in Table 2.3. Table 2. 3: Summary of RF power observed in Nanyang Polytechnic, Singapore [10] . It can be seen from the data presented in all three studies that the range of maximum RF power observed across all frequencies is between -84dBm to -22dBm. ...
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... Recently, in accordance with the characteristics of WSNs packet transmissions, which emit electromagnetic radiation, RF energy harvesting is gaining interest as a potential solution for enabling self-powered low-power platforms. In RF energy harvesting, a variety of research areas has been investigated, including the antenna design for miniaturization and high gain [27], [28], matching circuits for the high efficiency of energy conversion [29], rectifier designs for high sensitiv-ity [30], [31], and the feasibility itself of achieving RF energy harvesting [32], [33], [34], [35], [36], [37], [38]. In particular, the performance of RF energy harvesting was theoretically analyzed by the random arrival model of RF energy source, e.g., a stochastic geometry approach, in [34]. ...
... In particular, the performance of RF energy harvesting was theoretically analyzed by the random arrival model of RF energy source, e.g., a stochastic geometry approach, in [34]. [35], and its feasibility was also experimentally evaluated in large-scale networks [36], [37], [38]. ...
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... In Table 1, properties of widely utilized ambient energy sources are introduced. Among the available ambient energy sources, RF energy has greatly grown due to the preponderance of wireless signals, such as mobile base stations [8] and Wi-Fi networks [9], radio and TV transmitters [10] [11] [12], and microwave radios and mobile phones [13]. Compared to the other energy sources, RF energy provides a relatively low energy density of 0.2 nW/cm 2 –1 í µí¼W/cm 2 . ...
... InTable 1, properties of widely utilized ambient energy sources are introduced. Among the available ambient energy sources, RF energy has greatly grown due to the preponderance of wireless signals, such as mobile base stations [8] and Wi-Fi networks [9], radio and TV transmitters101112, and microwave radios and mobile phones [13]. Compared to the other energy sources, RF energy provides a relatively low energy density of 0.2 nW/cm 2 –1 í µí¼W/cm 2 . ...
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... Radiant energy is harvested from the sun and from radio frequency waves, for both indoor and outdoor systems. In recent years, energy harvesting from radio frequency and sunlight has been explored extensively in an attempt to utilize this source of energy to power wireless sensor networks for environmental monitoring applications (Morais et al. 2008;Bhuvaneswari et al. 2009;Tabbakh et al. 2010;Alippi et al. 2011;Lim et al. 2013;. ...
... In RF energy harvesting, rectifying antennas (or rectennas) are used to capture electromagnetic signals emitted from nearby sources like mobile phones or radio stations, which are then converted to regulated DC power using a rectifier circuit to be utilized by small, low power consumption systems such as sensor devices (Ramesh and Rajan 2014). Some RF sources like radio stations transmit high amounts of RF power (up to megawatts), but due to path loss and fading, their signals reach the harvesting antennas at relatively low levels (Lim et al. 2013), thus making the harvesting process challenging. Nevertheless, RF energy harvesters are promising when implemented in urban and suburban areas due to the large amount of ambient energy sources and the relatively small distance between the RF sources and the receiving antenna (Pinuela et al. 2013). ...
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... Among all these methods, radio signal radiated by ambient transmitters became a new source for wireless energy harvesting, and harvesting energy from ambient RF signals can power a wireless sensors network [5]. Besides, recent advance in designing highly efficient rectifying antennas will enable more efficient wireless energy harvesting from RF signals in the near future [6, 7]. More recently, the study of wireless powered communication networks (WPCNs) has received a lot of interest. ...
... Let ℎ í µí± ,í µí± be the source-destination channel coefficients. The channel from the source to the destination is modeled as frequency nonselective fading and additive noise [1, 5, 7]. Therefore, the channel coefficients are assumed to be constant during a complete slot time and may vary from a slot time to another. ...
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... Several papers focus on improving antenna performance, e.g. [1] demonstrates a tri-band antenna at 900 MHz, 1900 MHz, and 2.4 GHz, whereas [2] utilizes a large magnetically-coupled coil antenna to increase efficiency. Power management circuits typically focus on low-power conditioning and energy storage such as matching networks, RF-DC converters, and DC-DC boost converters [1]- [7]. ...
... In this system, the RF-DC converter design is important because while the DC-DC boost converter obtains a high efficiency, up to 80%, the RF-DC converter has substantially lower efficiency. Several papers [2]- [4] use Cockroft-Walton RF-DC converters (also called the Villard Doubler) in their RF harvesting systems, while others ([1], [5], and [6]) employ Dickson converters. Yan et al. [7] briefly compares both converters and concludes that there is no significant difference between the two topologies; however, his converters are limited to two stages only. ...
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... However, batteries present several disadvantages like the need to replace and recharge periodically. As the number of electronic devices continues to increase, the continual reliance on batteries can be both cumbersome and costly [1][2][3][4]. Recently, radio frequency (RF) energy harvesting has been a fast growing topic. ...
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... GHz) direct the research of RF energy harvesting and its antenna design to target these specified frequency bands. Furthermore, the detailed power density measurements of GSM 900 and GSM 1800 presented in [10] affirm that despite of the wider bandwidth of the GSM 1800, the stronger narrow band peaks of GSM 900 are much more beneficial in terms of EM energy harvesting applications. ...
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... Reference [6] also studied ambient RF energy harvesting, but instead of using the harvested energy to power the wireless sensor network directly, it considered the option of storing the harvested energy in a capacitor or battery to power the wireless sensor network. In [7], a radio frequency energy harvesting model was analyzed by considering a receiving antenna part, a rectifying part, and an energy storage in the circuit. ...
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... All previous Voltage Regulator topologies were proposed to operate using a quiescent power in the order of hundreds of microwatts and delivering a power whose magnitude are in the range of hundreds of miliwatts, [3] [4]. However, batteryless and self-power circuits are one of the newest trends in todays market; UHF RFID tags, power harvesters, network sensors, self-power sensors and wearable circuit are merit examples, [5], [6], [7]. These new circuit applications have a very small power supply budget to perform the designed task, such budget is around a few microwatts to hundreds of microwatts. ...
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... Generating RF signals only adds to the environmental pollution by adding more EM waves to the environment. Therefore we use energy harvested from ambient RF signals which makes wireless sensor networks not only environmentally friendly but also self-sustaining [2]. But due to path loss and restriction on permissible transmission power; the RF power available to the input of the RF energy harvesting system is low. ...
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... Instead of relying on dedicated wireless charger, wireless charging systems based on ambient energy harvesting have also been developed. Literature has demonstrated the development of self-recharging sensors platform harvesting environmental RF signals from TV broadcast [149]–[152] , amplitude modulated (AM) radio broadcast [153], Global System for Mobile Communications (GSM) bands (900/1800) [154], [155], WiFi routers [156], [157], cellular base stations [158] and satellite [159]–[161]. RF-powered sensors also appear in other environments, such as wireless body area networks (WBANs) [109], [162] (e.g., for health-care monitoring). ...
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Full-text available
Nov 2015
... As such, many projects have attempted to exploit this to harvest energy, showing promising results. Publications have seen devices harvest WiFi energy in the order of gigahertz [115] and from cell-tower broadcasts in the order of hundreds of megahertz [116]. Networks have also been developed in modern research to utilise the power from other sensor nodes to harvest energy. ...
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RF energy harvesting holds a promising future for generating a small amount of energy to potentially power on low power devices like wireless sensor network. Due to path loss and restriction on transmit power; the RF power available to the input of the RF energy harvesting system is relative low. In this work, we show how wireless power transfer can occur more efficiently by the design of a high ... [Show full abstract]Read moreDiscover more











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