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针对无线传感器网络中随机部署无法实现对重要性不同的目标的优化覆盖控制问题,利用目标重叠域和贪婪算法设计一种基于目标权重的最优部署算法.以概率感知模型的传感器节点作为研究对象,通过标定目标权重确定目标重叠域,采用贪婪算法选取节点的最优部署范围,根据指标函数的最小值确定节点的部署位置.实验结果表明,所提出的算法能够实现对离散目标的最优覆盖监测,而且能保证监测节点网络的连通性.
In order to solve the problem of optimal coverage control in wireless sensor networks where random deployment can not achieve the goals of different importance, a target-based optimal deployment algorithm is designed by using the target overlap domain and the greedy algorithm.The sensor nodes of probabilistic perception model , The target overlapping area is determined through the calibration of the target weight, and the optimal deployment range of the node is selected by the greedy algorithm, and the deployment position of the node is determined according to the minimum of the index function.Experimental results show that the proposed algorithm can achieve optimal coverage of discrete targets Monitoring, but also to ensure that monitoring network connectivity nodes.