Medium access control protocol design for sensors powered by wireless energy transfer

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

doi:10.1109/infcom.2013.6566753

Cited by 81 publications

(68 citation statements)

References 7 publications

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“…In this paper, the deployment of this hybrid network under an outage constraint on data links was designed using the stochastic-geometry theory. In [7], a medium access control (MAC) protocol was proposed for sensor networks powered by wireless energy transfer. Wireless energy transfer was considered for cognitive radio networks in [8], where secondary transmitters harvest ambient RF energy from transmissions by nearby active primary transmitters.…”

mentioning

confidence: 99%

Harvest-Then-Cooperate: Wireless-Powered Cooperative Communications

Chen

Rebelatto

et al. 2015

IEEE Trans. Signal Process.

424

307

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Abstract-In this paper, we consider a wireless-powered cooperative communication network consisting of one hybrid accesspoint (AP), one source, and one relay. In contrast to conventional cooperative networks, the source and relay in the considered network have no embedded energy supply. They need to rely on the energy harvested from the signals broadcasted by the AP for their cooperative information transmission. Based on this three-node reference model, we propose a harvest-then-cooperate (HTC) protocol, in which the source and relay harvest energy from the AP in the downlink and work cooperatively in the uplink for the source's information transmission. Considering a delay-limited transmission mode, the approximate closed-form expression for the average throughput of the proposed protocol is derived over Rayleigh fading channels. Subsequently, this analysis is extended to the multi-relay scenario, where the approximate throughput of the HTC protocol with two popular relay selection schemes is derived. The asymptotic analyses for the throughput performance of the considered schemes at high signal-to-noise radio are also provided. All theoretical results are validated by numerical simulations. The impacts of the system parameters, such as time allocation, relay number, and relay position, on the throughput performance are extensively investigated.

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mentioning

confidence: 99%

Harvest-Then-Cooperate: Wireless-Powered Cooperative Communications

Chen

Rebelatto

et al. 2015

IEEE Trans. Signal Process.

424

307

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“…At night, nodes may enter a conservative mode to use the stored energy. Furthermore, nodes may have an uneven residual energy distribution due to the difference in the quantity of energy collected, and this has to be taken into account when designing protocols [109]. For example, nodes with low residual energy may be assigned higher sleep periods and lower transmission ranges, while those with high residual energy may be preferred when selecting a routing path.…”

Section: Chargingmentioning

confidence: 99%

Energy efficiency in wireless sensor networks: A top-down survey

Rault¹,

Bouabdallah²,

Challal³

2014

Computer Networks

786

452

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The design of sustainable wireless sensor networks (WSNs) is a very challenging issue. On the one hand, energyconstrained sensors are expected to run autonomously for long periods. However, it may be cost-prohibitive to replace exhausted batteries or even impossible in hostile environments. On the other hand, unlike other networks, WSNs are designed for specific applications which range from small-size healthcare surveillance systems to large-scale environmental monitoring. Thus, any WSN deployment has to satisfy a set of requirements that differs from one application to another. In this context, a host of research work has been conducted in order to propose a wide range of solutions to the energysaving problem. This research covers several areas going from physical layer optimization to network layer solutions. Therefore, it is not easy for the WSN designer to select the efficient solutions that should be considered in the design of application-specific WSN architecture.We present a top-down survey of the trade-offs between application requirements and lifetime extension that arise when designing wireless sensor networks. We first identify the main categories of applications and their specific requirements. Then we present a new classification of energy-conservation schemes found in the recent literature, followed by a systematic discussion as to how these schemes conflict with the specific requirements. Finally, we survey the techniques applied in WSNs to achieve trade-off between multiple requirements, such as multi-objective optimisation.

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“…Some preliminary work on the energy transmitter grouping strategy appeared in [5], which has been integrated in the current RF-MAC protocol design.…”

Section: B Sensor Network With Wireless Energy Transfermentioning

confidence: 99%

RF-MAC: A Medium Access Control Protocol for Re-Chargeable Sensor Networks Powered by Wireless Energy Harvesting

Naderi

Nintanavongsa

Chowdhury

2014

IEEE Trans. Wireless Commun.

Self Cite

162

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Abstract-Wireless charging through directed radio frequency (RF) waves is an emerging technology that can be used to replenish the battery of a sensor node, albeit at the cost of data communication in the network. This tradeoff between energy transfer and communication functions requires a fresh perspective on medium access control (MAC) protocol design for appropriately sharing the channel. Through an experimental study, we demonstrate how the placement, the chosen frequency, and number of the RF energy transmitters impact the sensor charging time. These studies are then used to design a MAC protocol called RF-MAC that optimizes energy delivery to sensor nodes, while minimizing disruption to data communication. In the course of the protocol design, we describe mechanisms for (i) setting the maximum energy charging threshold, (ii) selecting specific transmitters based on the collective impact on charging time, (iii) requesting and granting energy transfer requests, and (iv) evaluating the respective priorities of data communication and energy transfer. To the best of our knowledge, this is the first distributed MAC protocol for RF energy harvesting sensors, and through a combination of experimentation and simulation studies, we observe 300% maximum network throughput improvement over the classical modified unslotted CSMA MAC protocol.

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Medium access control protocol design for sensors powered by wireless energy transfer

Cited by 81 publications

References 7 publications

Harvest-Then-Cooperate: Wireless-Powered Cooperative Communications

Harvest-Then-Cooperate: Wireless-Powered Cooperative Communications

Energy efficiency in wireless sensor networks: A top-down survey

RF-MAC: A Medium Access Control Protocol for Re-Chargeable Sensor Networks Powered by Wireless Energy Harvesting

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