无线传感器网络中实现可信信息覆盖的能量感知的节点优化选择方法研究 Research on Energy-Aware Sensor Selection for Confidential Information Coverage in Wireless Sensor Networks

在无线传感器网络的区域监测应用中，保障区域可信监测覆盖的传感器节点优化选择是一个重要问题。本文提出了节点能量感知的传感器优化选择方法，基于监测值误差精度和传感器剩余能量约束，将传感器节点的优化选择问题转化为0-1整数规划问题并求解最少传感器选择集合，既保证了监测精度又延长了网络寿命。利用Inter Berkeley实验室的温度数据进行仿真实验，并针对不同的插值方法进行了实验对比分析，在满足相同监测精度误差情况下，网络寿命延长了2倍以上，优于同类算法。 In the area monitoring applications of wireless sensor networks, the optimal selection of sensor nodes for confidential information coverage is an important issue. This paper presents an energy aware method of sensor node selection to satisfy the monitoring precision and sensor residual energy constraint. We transform the energy aware sensor node selection problem into a 0-1 integer programming problem, and solving the minimum selected sensor set, both to ensure the accuracy of monitoring and prolong the network lifetime. We use Intel Berkeley laboratory’s temperature data for simulation experiments. Compared with different interpolation methods, the network lifetime is extended by more than 2 times under the same monitoring precision error condition.