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.

中文翻译：

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基于几何分析的扇区无线供电传感器网络簇头选择


在这封信中，我们考虑扇区无线供电传感器网络（WPSN），其中基于扇区集群的传感器节点使用从混合接入点收集的能量将数据传输到簇头（CH）。我们为这个扇区化的 WPSN 构建了一个系统模型，并制定了一个优化问题，以获得最大化传感数据可实现传输速率的最佳 CH。为了以较低的开销和复杂性获得最佳 CH，我们执行渐近几何分析 (GA)，确定扇区所考虑区域中 CH 的最佳坐标，这样只有少数靠近该最佳坐标的传感器节点需要被调查。仿真结果表明，所提出的基于遗传算法的CH选择方法的性能接近穷举搜索的最优性能；此外，所提出的方法大大减少了信道反馈开销。