Efficient wireless powering of sensors embedded in concrete via magnetic resonance

Jonah, Olutola; Georgakopoulos, Stavros V.

doi:10.1109/aps.2011.5996560

Cited by 9 publications

(8 citation statements)

References 17 publications

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“…It has already been applied to power medical sensors and implantable devices [112], to replenish sensors embedded in concrete in a wireless manner [113] and to power a ground sensor from a UAV [114]. The emergence of wireless power charging technology should allow the energy constraint to be overcome, as it is now possible to replenish the network elements in a more controllable manner.…”

Section: Chargingmentioning

confidence: 99%

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

Rault¹,

Bouabdallah²,

Challal³

2014

Computer Networks

804

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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Section: Chargingmentioning

confidence: 99%

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

Rault¹,

Bouabdallah²,

Challal³

2014

Computer Networks

804

452

View full text Add to dashboard Cite

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“…There are several works that have been reported so far regarding material effects on WPT based on numerical simulations or measurements [36], [61]- [65]. In this chapter, an analytic PTE bound in the radiating near-field region when a small Tx antenna is enclosed by a material shell and a small Rx antenna is located outside in free space is derived.…”

Section: Introductionmentioning

confidence: 99%

Realizing Efficient Wireless Power Transfer in the Near-Field Region Using Electrically Small Antennas

Yoon¹,

Líu²

2012

Wireless Power Transfer - Principles and Engineering Explorations

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“…The applications of wireless energy transfer in lowpower and lossy networks are numerous. It has already been applied to power medical sensors and implantable devices [5], to replenish wirelessly sensors embedded in concrete [6] and to power a ground sensor from a UAV [7]. So, it is expected that wireless energy transfer will revolutionize the principles of LLN design.…”

Section: Introductionmentioning

confidence: 99%

Multi-hop wireless charging optimization in low-power networks

Rault

Bouabdallah

Challal

2013

2013 IEEE Global Communications Conference (GLOBECOM)

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Abstract-Recent advancements in wireless charging technology offer promising alternative to address the challenging problem of energy consumption in low-power networks. Based on these breakthroughs, existing solutions have investigated wireless charging strategies of low-power networks through the use of mobile chargers, where a charger has to come at the nodes' vicinity to recharge their battery. However, none of these works have considered the multihop energy transmission, whose feasibility have been demonstrated recently. In such a system, a node can transmit energy wirelessly to its neighbors. In this paper, we propose an optimization model to determine the minimum number of chargers needed to recharge the elements of a network in a multihop scenario, taking into acccount the energy demand of the nodes, the energy loss that occurs during a transfer and the capacity of the chargers. To the best of our knowledge, the work presented in this paper is the first that addresses the optimization of multihop wireless energy transfer in low-power networks.

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Efficient wireless powering of sensors embedded in concrete via magnetic resonance

Cited by 9 publications

References 17 publications

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

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

Realizing Efficient Wireless Power Transfer in the Near-Field Region Using Electrically Small Antennas

Multi-hop wireless charging optimization in low-power networks

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