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Optimal Nonuniform Deployment of Sensors for Distributed Detection in Wireless Sensor Networks

机译:无线传感器网络中用于分布式检测的传感器的最优非均匀部署

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We determine the optimal nonuniform spatial density of nodes in a single-hop Wireless Sensor Network (WSN) whose task is the distributed detection of a target within its sensing field. The optimization approach accounts for such factors as the Medium Access Control (MAC) protocol being used, the wireless channel's propagation characteristics, a randomized sleep/wake-up scheduling protocol, network coverage constraints, the energy consumed, the time to reach a decision, and the number of nodes in the network. The node density that minimizes the average Decision Error Probability (DEP) when a node at the center of the network serves as the Cluster Head (CH) is shown to be a function of the distance from this CH. The solution of this optimization problem and simulations demonstrate both the significant performance improvement provided by nonuniform spatial densities and the trade-offs that are possible amongst energy, network lifetime, detection performance, and time to reach a decision.
机译:我们确定单跳无线传感器网络(WSN)中节点的最佳非均匀空间密度,该网络的任务是在其感测范围内对目标进行分布式检测。优化方法考虑了以下因素:使用的介质访问控制(MAC)协议,无线信道的传播特性,随机的睡眠/唤醒调度协议,网络覆盖限制,消耗的能量,做出决策的时间,以及网络中的节点数。当网络中心的节点充当簇头(CH)时,使平均决策错误概率(DEP)最小的节点密度显示为该CH距离的函数。该优化问题和仿真的解决方案既显示了不均匀的空间密度所带来的显着性能改进,又显示了在能耗,网络寿命,检测性能和决策时间之间可能进行的取舍。

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