A dual-band wireless energy transfer protocol for heterogeneous sensor networks powered by RF energy harvesting

Nintanavongsa, Prusayon; Naderi, Majid; Chowdhury, Kaushik R.

doi:10.1109/icsec.2013.6694814

Cited by 22 publications

(11 citation statements)

References 19 publications

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“…For example, reference [70] demonstrates that an information rate of 1 kbps can be achieved between two prototype devices powered by ambient RF signals, at the distance of up to 2.5 feet and 1.5 feet for outdoors and indoors, respectively. Existing literature has also presented many implementations of battery-free devices powered by ambient energy from WiFi [71], [72], GSM [73]- [76] and DTV bands [77]- [82] as well as ambient mobile electronic devices [83].…”

Section: Existing Applications Of Rf Energy Harvestingmentioning

confidence: 99%

Wireless Networks With RF Energy Harvesting: A Contemporary Survey

Wang

Niyato

et al. 2015

IEEE Commun. Surv. Tutorials

2,328

1,349

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Radio frequency (RF) energy transfer and harvesting techniques have recently become alternative methods to power the next generation wireless networks. As this emerging technology enables proactive energy replenishment of wireless devices, it is advantageous in supporting applications with quality of service (QoS) requirements. In this paper, we present a comprehensive literature review on the research progresses in wireless networks with RF energy harvesting capability, referred to as RF energy harvesting networks (RF-EHNs). First, we present an overview of the RF-EHNs including system architecture, RF energy harvesting techniques and existing applications. Then, we present the background in circuit design as well as the state-of-the-art circuitry implementations, and review the communication protocols specially designed for RF-EHNs. We also explore various key design issues in the development of RF-EHNs according to the network types, i.e., single-hop networks, multi-antenna networks, relay networks, and cognitive radio networks. Finally, we envision some open research directions.Index Terms-RF energy harvesting, simultaneous wireless information and power transfer (SWIPT), receiver operation policy, beamforming, communication protocols, RF-powered Cognitive radio network.1553-877X (c) 2 transmission. Traditionally, free-space beaming and antennas with large apertures are used to overcome propagation loss for large power transfer. For example, in 1960's, the authors in [15] demonstrate a small helicopter hovering at a height of 50 feet, powered by an RF source with a DC power supply of 270W operating on 2.45GHz on the ground. In [16], the authors demonstrate a space-to-earth power transfer system using gigantic transmit antenna arrays at a satellite and receive antenna arrays at a ground station. For transmit power of 2.7GW, the power transfer efficiency is estimated to be 45% over a transfer distance of 36000km. During the past decade, with the development in RF energy harvesting circuit, low power transfer for powering mobile terminals in wireless communication systems began to attract increasing attention [17], [18]. The authors in [17] propose a network architecture for RF charging stations, overlaying with an uplink cellular network. In [18], a harvest-then-transmit protocol is introduced for power transfer in wireless broadcast system. Moreover, various modern beamforming techniques are employed to improve power transfer efficiency [18]-[20] for mobile applications.It is until recently that the dual use of RF signals for delivering energy as well as for transporting information has been advocated [21], [22]. Simultaneous wireless information and power transfer (SWIPT) [23] is proposed for delivering RF energy, usually in a low power region (e.g., for sensor networks). SWIPT provides the advantage of delivering controllable and efficient on-demand wireless information and energy concurrently, which offers a low-cost option for sustainable operations of wireless systems without hardware modification on the ...

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Section: Existing Applications Of Rf Energy Harvestingmentioning

confidence: 99%

Wireless Networks With RF Energy Harvesting: A Contemporary Survey

Wang

Niyato

et al. 2015

IEEE Commun. Surv. Tutorials

2,328

1,349

View full text Add to dashboard Cite

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“…where ρ (1) and ρ (2) are the first and second correlation functions defined in (5). Noting that ρ (2) (k, l) = K(k, k)K(l, l) + α|K(k, l)| 2 and recombining the terms, one finds We conclude by simply evaluating the first integral analytically and obtain (14).…”

Section: Appendix Imentioning

confidence: 97%

Performance Analysis of Ambient RF Energy Harvesting with Repulsive Point Process Modeling

Flint

Privault

et al. 2015

IEEE Trans. Wireless Commun.

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Ambient RF (Radio Frequency) energy harvesting technique has recently been proposed as a potential solution to provide proactive energy replenishment for wireless devices. This paper aims to analyze the performance of a battery-free wireless sensor powered by ambient RF energy harvesting using a stochastic geometry approach. Specifically, we consider the point-to-point uplink transmission of a wireless sensor in a stochastic geometry network, where ambient RF sources, such as mobile transmit devices, access points and base stations, are distributed as a Ginibre α-determinantal point process (DPP).The DPP is able to capture repulsion among points, and hence, it is more general than the Poisson point process (PPP). We analyze two common receiver architectures: separated receiver and time-switching architectures. For each architecture, we consider the scenarios with and without co-channel interference for information transmission. We derive the expectation of the RF energy harvesting rate in closed form and also compute its variance. Moreover, we perform a worst-case study which derives the upper bound of both power and transmission outage probabilities. Additionally, we provide guidelines on the setting of optimal time-switching coefficient in the case of the time-switching architecture. Numerical results verify the correctness of the analysis and show various tradeoffs between parameter setting. Lastly, we prove that the sensor is more efficient when the distribution of the ambient sources exhibits stronger repulsion.

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“…The researchers in [72] had claimed to have developed the first wireless ET protocol for heterogeneous frequency in RFEH and have improvised with about 59% higher duty cycle and 66% average network throughput performance over classical CSMA MAC protocol. The different aspects of design issues in RFEHNs are design of the circuit, networking using single hop, multi-antenna and cooperative relaying techniques followed by communcation protocols as depicted in Figure 8.…”

Section: B Energy Transfer In Rsnmentioning

confidence: 99%

Energy Management in RFID-Sensor Networks: Taxonomy and Challenges

Anjum

Noor

Anisi

et al. 2019

IEEE Internet Things J.

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Ubiquitous Computing is foreseen to play an important role for data production and network connectivity in the coming decades. The Internet of Things (IoT) research which has the capability to encapsulate identification potential and sensing capabilities, strives towards the objective of developing seamless, interoperable and securely integrated systems which can be achieved by connecting the Internet with computing devices. This gives way for the evolution of wireless energy harvesting and power transmission using computing devices. Radio Frequency (RF) based Energy Management (EM) has become the backbone for providing energy to wireless integrated systems. The two main techniques for EM in RFID Sensor Networks (RSN) are Energy Harvesting (EH) and Energy Transfer (ET). These techniques enable the dynamic energy level maintenance and optimisation as well as ensuring reliable communication which adheres to the goal of increased network performance and lifetime. In this paper, we present an overview of RSN, its types of integration and relative applications. We then provide the state-of-the-art EM techniques and strategies for RSN from August 2009 till date, thereby reviewing the existing EH and ET mechanisms designed for RSN. The taxonomy on various challenges for EM in RSN has also been articulated for open research directives.

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A dual-band wireless energy transfer protocol for heterogeneous sensor networks powered by RF energy harvesting

Cited by 22 publications

References 19 publications

Wireless Networks With RF Energy Harvesting: A Contemporary Survey

Wireless Networks With RF Energy Harvesting: A Contemporary Survey

Performance Analysis of Ambient RF Energy Harvesting with Repulsive Point Process Modeling

Energy Management in RFID-Sensor Networks: Taxonomy and Challenges

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