基于移动分集算法的机器人辅助分簇无线传感器网络能量均衡
Energy balancing for robotic aided clustered wireless sensor networks using mobility diversity algorithms
摘要：
研究了在移动机器人的辅助下，在大范围内随机部署的分簇无线传感器网络的能量平衡问题。传感器节点（SN）的任务是监测感兴趣的区域（ROI），并将其测试统计数据报告给簇头（CH），簇头随后通过无线衰落信道报告给融合中心（FC）。为了最大限度地提高生命周期的无线传感器网络，MR部署作为一个自适应中继之间的一个子集的CH和FC。为了实现这一点，我们开发了一种由MR执行的多链路移动性分集算法（MDA），其将允许同时补偿所建立的无线链路处的小尺度衰落（即，MR到FC以及各种CH到MR通信链路）。仿真结果表明，所提出的MR辅助技术是能够显着降低所需的传输功率，从而延长无线传感器网络的运行寿命。我们还展示了如何在各种无线链路的小规模衰落的影响是减轻使用建议的多链路MDA执行的MR配备了一个单一的天线。
英文摘要：
We consider the problem of energy balancing in a clustered wireless sensor network (WSN) deployed randomly in a large field and aided by a mobile robot (MR). The sensor nodes (SNs) are tasked to monitor a region of interest (ROI) and report their test statistics to the cluster heads (CHs), which subsequently report to the fusion center (FC) over a wireless fading channel. To maximize the lifetime of the WSN, the MR is deployed to act as an adaptive relay between a subset of the CHs and the FC. To achieve this we develop a multiple-link mobility diversity algorithm (MDA) executed by the MR that will allow to compensate simultaneously for the small-scale fading at the established wireless links (i.e., the MR-to-FC as well as various CH-to-MR communication links). Simulation results show that the proposed MR aided technique is able to significantly reduce the transmission power required and thus extend the operational lifetime of the WSN. We also show how the effect of small-scale fading at various wireless links is mitigated by using the proposed multiple-link MDA executed by a MR equipped with a single antenna.
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