Toward Uninterrupted Operation of Wireless Sensor Networks

De, Swades; Singhal, Rishabh

doi:10.1109/mc.2012.253

Cited by 25 publications

(14 citation statements)

References 10 publications

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“…By the same principle, MHET can provide RFH range extension, which helps in implementing smarter RFH communications as it reduces the gap between the energy transfer and data transfer ranges. Feasibility studies in [2] showed that under certain optimum distance conditions, MHET can provide energy and time gains over Direct Energy Transfer (DET). The improved performance of MHET over DET was experimentally demonstrated in [9].…”

Section: Communicationsmentioning

confidence: 99%

“…Consider the network model shown in Fig. 4(a), where a mobile node (called Integrated Data and Energy Mule, or IDEM) with dedicated RF source and MPER capability has the objective to provide uninterrupted network operation by regularly visiting the nodes for recharging them and collecting field data [2]. Network size can be defined as the number of nodes that can be served by a single mobile dedicated RF source in a way that none of the nodes ever runs out of energy.…”

Section: E Network Size Expansion: Consequence Of Mpermentioning

confidence: 99%

“…The RF radiation pattern is generally wide-angled; the radio waves can simultaneously carry information and energy, and the radiation directivity can be electronically steerable. These features have been exploited in Multi-Hop Energy Transfer (MHET) as well as combining it with data transfer over the same RF signal (called Simultaneous Wireless Information and Power Transfer, or SWIPT), without requiring critical alignment of the nodes [1], [2]. Besides, RFH has found applications in cognitive radio networks, wireless body area networks, and other wireless charging systems [3].…”

Section: Introductionmentioning

confidence: 99%

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Smart RF energy harvesting communications: challenges and opportunities

et al. 2015

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Abstract-RF energy Harvesting (RFH) is emerging as a potential method for the proactive energy replenishment of next generation wireless networks. Unlike other harvesting techniques that depend on the environment, RFH can be predictable or ondemand, and as such it is better suited for supporting quality-ofservice-based applications. However, RFH efficiency is scarce due to low RF-to-DC conversion efficiency and receiver sensitivity. In this article, we identify the novel communication techniques that enable and enhance the usefulness of RFH. Backed by some experimental observations on RFH and the current state-of-theart, we discuss the challenges on the actual feasibility of RFH communications, new research directions, and the obstacles to their practical implementation.

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Section: Communicationsmentioning

confidence: 99%

Section: E Network Size Expansion: Consequence Of Mpermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Smart RF energy harvesting communications: challenges and opportunities

et al. 2015

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“…However, the success of RFET relies on accurately predicting the charging efficiency and energy level after a finite charging duration. This is especially important in the integrated data and energy mule (IDEM) paradigm [8] that extends the concept of the conventional data mule [9]. An IDEM occasionally visits the field nodes, places itself nearby a node for collecting data wirelessly and recharging it via RFET.…”

Section: Introductionmentioning

confidence: 99%

“…To our best knowledge, no analytical model is available in the literature to characterize RF charging time. Our developed RF charging model in the paper is aimed at filling this gap and providing a robust framework for analyzing the efficacy of the RF harvesting system with mobile chargers to provide sustainable network operation [8].…”

Section: Introductionmentioning

confidence: 99%

Charging Time Characterization for Wireless RF Energy Transfer

Mishra

Chowdhury

2015

IEEE Trans. Circuits Syst. II

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Abstract-Wireless energy transfer to the on-board energy storage element using dedicated radio frequency (RF) energy source has the potential to provide sustained network operation by recharging the sensor nodes on demand. To determine the efficiency of RF energy transfer (RFET), characterization of recharging process is needed. Different from classical capacitorcharging operation, the incident RF waves provide constant power (instead of constant voltage or current) to the storage element, which requires a new theoretical framework for analyzing the charging behavior. This work develops the charging equation for replenishing an energy-depleted storage element by RFET. Since the remaining energy on a sensor node is a random parameter, the RF charging time distribution for a given residual voltage distribution is also derived. The analytical model is validated through hardware experiments and simulations.

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