A Study on Wireless Charging for Prolonging the Lifetime of Wireless Sensor Networks

Abstract

Wireless charging is an important issue in wireless sensor networks, since it can provide an emerging and effective solution in the absence of other power supplies. The state-of-the-art methods employ a mobile car and a predefined moving path to charge the sensor nodes in the network. Previous studies only consider a factor of the network (i.e., residual energy of sensor node) as a constraint to design the wireless charging strategy. However, other factors, such as the travelled distance of the mobile car, can also affect the effectiveness of wireless charging strategy. In this work, we study wireless charging strategy based on the analysis of a combination of two factors, including the residual energy of sensor nodes and the travelled distance of the charging car. Firstly, we theoretically analyze the limited size of the sensor network to match the capability of a charging car. Then, the networked factors are selected as the weights of traveling salesman problem (TSP) to design the moving path of the charging car. Thirdly, the charging time of each sensor node is computed based on the linear programming problem for the charging car. Finally, a charging period for the network is studied. The experimental results show that the proposed approach can significantly maximize the lifetime of the wireless sensor network.

Novel wireless charging algorithms to charge mobile wireless sensor network by using reinforcement learning

“…ing state of the art algorithms Greedy [1], Heuristic [1], IPCTS [3] and CSRL [4] to better prove this research study.…”

“…Based on the on-demand charging concept, He et al [2] proposed efficient nearest-Job-next with pre-emption (NJNP) discipline for the mobile charger, and provide analytical results, throughput and charging latency from the perspectives of the mobile charger and individual sensor nodes, respectively. Tu et al [3] proposed the charging car which moves on the path based upon TSP method. Here the mobile charging time of every sensor nodes are calculated depending upon the linear programming.…”

Adaptive Dual-Mode Routing-Based Mobile Data Gathering Algorithm in Rechargeable Wireless Sensor Networks for Internet of Things

“…Tang [11] introduced an optimal charging algorithm based on a novel concept called "shuttling" in order to minimize the charger number. Tu [12] set an energy replenishment strategy based on the residual energy level and moving distance of the vehicle. Xie [13] studied an optimization problem whose objective was to minimize the wireless charging vehicle's moving time.…”

Optimizing Charging Efficiency and Maintaining Sensor Network Perpetually in Mobile Directional Charging

“…The existing wireless energy transfer can be divided into Single-Input Single-Output energy transfer model [23,24,25,26,27,28,29,30,31,32,33,34] and Single-Input Multiple-Output energy transfer model [13,14,15,16,17,31,32,33,34,35]. Energy transfer optimization problems can be divided into static charging stations’ deployment [11,18,19,20,35,36,37,38] and mobile charging vehicles’ dispatching problems [13,14,15,16,17,23,24,25,26,27,28,29,30,31,32,33,34].…”

“…Energy transfer optimization problems can be divided into static charging stations’ deployment [11,18,19,20,35,36,37,38] and mobile charging vehicles’ dispatching problems [13,14,15,16,17,23,24,25,26,27,28,29,30,31,32,33,34]. …”