Inductive Charging with Multiple Charger Nodes in Wireless Sensor Networks

Yao, Weigang; Li, Minglu; Wu, Min-You

doi:10.1007/11610496_34

Cited by 23 publications

(21 citation statements)

References 11 publications

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“…Energy efficient design techniques have been studied for WSNs at all levels from hardware design to protocols for medium access control, routing, data gathering, topology control, etc. [1]. However, it is possible to sustain the nodes by recharging or replacing batteries when needed.…”

Section: Introductionmentioning

confidence: 99%

Wireless Power Transfer Protocols in Sensor Networks: Experiments and Simulations

Nikoletseas

Raptis

Souroulagkas

et al. 2017

JSAN

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Rapid technological advances in the domain of Wireless Power Transfer pave the way for novel methods for power management in systems of wireless devices, and recent research works have already started considering algorithmic solutions for tackling emerging problems. In this paper, we investigate the problem of efficient and balanced Wireless Power Transfer in Wireless Sensor Networks. We employ wireless chargers that replenish the energy of network nodes. We propose two protocols that configure the activity of the chargers. One protocol performs wireless charging focused on the charging efficiency, while the other aims at proper balance of the chargers' residual energy. We conduct detailed experiments using real devices and we validate the experimental results via larger scale simulations. We observe that, in both the experimental evaluation and the evaluation through detailed simulations, both protocols achieve their main goals. The Charging Oriented protocol achieves good charging efficiency throughout the experiment, while the Energy Balancing protocol achieves a uniform distribution of energy within the chargers.

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Section: Introductionmentioning

confidence: 99%

Wireless Power Transfer Protocols in Sensor Networks: Experiments and Simulations

Nikoletseas

Raptis

Souroulagkas

et al. 2017

JSAN

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“…Thus, recharging from a distance is the only effective and generalized approach for dealing with the power problem of WSNs. Many research works [4][5] [6] have been proposed to keep WSNs alive or prolong the network lifetime by recharging the batteries using the distance based recharging technique, which is also called the inductive charging technology [7]. This technology is convenient, safe, efficient and green [8].…”

Section: Introductionmentioning

confidence: 99%

“…Some research works have been proposed to recharge sensor nodes by extracting energy directly from the deployment environment. These are called "scavenging" techniques [4]. The scavenging techniques recharge the sensors by collecting energies from solar power [9], kinetic energy [10], floor vibration [11], acoustic noise and so on.…”

Section: Introductionmentioning

confidence: 99%

Grid Approximation Based Inductive Charger Deployment Technique in Wireless Sensor Networks

Jaigirdar¹,

Islam²,

Huq³

2011

IJACSA

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Abstract-Ensuring sufficient power in a sensor node is a challenging problem now-a-days to provide required level of security and data processing capability demanded by various applications scampered in a wireless sensor network. The size of sensor nodes and the limitations of battery technologies do not allow inclusion of high energy in a sensor. Recent technologies suggest that the deployment of inductive charger can solve the power problem of sensor nodes by recharging the batteries of sensors in a complex and sensitive environment. This paper provides a novel grid approximation algorithm for efficient and low cost deployment of inductive charger so that the minimum number of chargers along with their placement locations can charge all the sensors of the network. The algorithm proposed in this paper is a generalized one and can also be used in various applications including the measurement of network security strength by estimating the minimum number of malicious nodes that can destroy the communication of all the sensors. Experimental results show the effectiveness of the proposed algorithm and impacts of the different parameters used in it on the performance measures.

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“…the nodes that belong to the optimal path p * ij ) are not in the tree j. Finally, constraint (9) states that B ij are binary variables.…”

Section: The Optimization Modelmentioning

confidence: 99%

“…In [9], Yao et al propose three simple charging schemes. In two schemes, a charger is assigned to a region and computes a shortest round path which links all sensor nodes in the area.…”

Section: A Single-hop Energy Transfermentioning

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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Inductive Charging with Multiple Charger Nodes in Wireless Sensor Networks

Cited by 23 publications

References 11 publications

Wireless Power Transfer Protocols in Sensor Networks: Experiments and Simulations

Wireless Power Transfer Protocols in Sensor Networks: Experiments and Simulations

Grid Approximation Based Inductive Charger Deployment Technique in Wireless Sensor Networks

Multi-hop wireless charging optimization in low-power networks

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