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The Optimization Based Dynamic and Cyclic Working Strategies for Rechargeable Wireless Sensor Networks with Multiple Base Stations and Wireless Energy Transfer Devices

机译:具有多个基站和无线能量传输设备的可充电无线传感器网络基于优化的动态和循环工作策略

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摘要

In this paper, the optimal working schemes for wireless sensor networks with multiple base stations and wireless energy transfer devices are proposed. The wireless energy transfer devices also work as data gatherers while charging sensor nodes. The wireless sensor network is firstly divided into sub networks according to the concept of Voronoi diagram. Then, the entire energy replenishing procedure is split into the pre-normal and normal energy replenishing stages. With the objective of maximizing the sojourn time ratio of the wireless energy transfer device, a continuous time optimization problem for the normal energy replenishing cycle is formed according to constraints with which sensor nodes and wireless energy transfer devices should comply. Later on, the continuous time optimization problem is reshaped into a discrete multi-phased optimization problem, which yields the identical optimality. After linearizing it, we obtain a linear programming problem that can be solved efficiently. The working strategies of both sensor nodes and wireless energy transfer devices in the pre-normal replenishing stage are also discussed in this paper. The intensive simulations exhibit the dynamic and cyclic working schemes for the entire energy replenishing procedure. Additionally, a way of eliminating “bottleneck” sensor nodes is also developed in this paper.
机译:本文提出了具有多个基站和无线能量传输设备的无线传感器网络的最佳工作方案。无线能量传输设备还在为传感器节点充电时充当数据收集器。首先根据Voronoi图的概念将无线传感器网络分为子网。然后,将整个能量补充过程分为正常前和正常能量补充阶段。为了最大化无线能量传输设备的停留时间比率,根据传感器节点和无线能量传输设备应遵守的约束条件,形成了正常能量补充周期的连续时间优化问题。随后,将连续时间优化问题重塑为离散的多阶段优化问题,从而产生了相同的最优性。线性化之后,我们获得了可以有效解决的线性规划问题。本文还讨论了传感器节点和无线能量传输设备在正常补充前的工作策略。密集的模拟展示了整个能量补充过程的动态和循环工作方案。此外,本文还提出了消除“瓶颈”传感器节点的方法。

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