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Geometric Analysis-Based Cluster Head Selection for Sectorized Wireless Powered Sensor Networks

机译:基于几何分析的群集头部选择扇区化无线供电传感器网络

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In this letter, we consider a sectorized wireless powered sensor network (WPSN), wherein sensor nodes, which are clustered based on sectors, transmit data to the cluster head (CH) using energy harvested from a hybrid access point. We construct a system model for this sectorized WPSN and formulate an optimization problem to obtain an optimal CH that maximizes the achievable transmission rate of sensing data. To obtain the optimal CH with low overhead and complexity, we perform an asymptotic geometric analysis (GA) that determines the optimal coordinates of the CH in the considered area of the sector such that only a small number of sensor nodes near this optimal coordinates need to be investigated. Simulation results show that the performance of the proposed GA-based CH selection method is close to the optimal performance exhibited by exhaustive search; moreover, the proposed method substantially reduces the channel feedback overhead.
机译:在这封信中,我们考虑一个扇区化无线供电的传感器网络(WPSN),其中基于扇区聚集的传感器节点,使用从混合接入点收获的能量将数据传输到簇头(CH)。我们构建该扇区化WPSN的系统模型,并制定优化问题,以获得最佳的CH,最大化可实现的传感数据的传输速率。为了获得低开销和复杂性的最佳CH,我们执行渐近几何分析(GA),该分析(GA)确定扇区的所考虑的区域中CH的最佳坐标,使得仅在此最佳坐标附近的少量传感器节点需要被调查。仿真结果表明,所提出的基于GA的CH选择方法的性能接近穷举搜索的最佳性能;此外,所提出的方法基本上减少了频道反馈开销。

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