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Cooperative Sensor Relocation in a Mobile Sensor Network by Distributed Subgradient Algorithm

机译:分布式子缩放算法在移动传感器网络中的协同传感器重定位

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Collaborative sensor relocation has potential to improve Mobile Sensor Network (MSN) performance while prolonging its life span by conserving sensor battery energy. However, lack of centralized control, variety of performance criteria, numerous uncertainties, and a possibility of sensor trapping in sub-optimal positions make collaborative sensor relocation an exceedingly challenging problem. Assuming that the sensing and communication operations are optimized much faster than sensors relocate, this paper proposes a sensor relocation strategy based on iterations of a Distributed Subgradient Projection Algorithm (DSPA). While maintaining inherently distributed nature of the computations, DSPA-based sensor relocation is capable of aligning sensor mobility with the overall MSN goals. This approach also accounts for a possibility of abrupt topology changes as sensors relocate.
机译:协同传感器重定位有可能通过节省传感器电池能量来改善移动传感器网络(MSN)性能的同时,延长其寿命。然而,缺乏集中控制,种类的性能标准,许多不确定性以及传感器捕获的可能性,使得次优位置进行协作传感器迁移一个非常具有挑战性的问题。假设感测和通信操作的优化比传感器重叠得快得多,本文提出了一种基于分布式子缩影投影算法(DSPA)的迭代的传感器重定位策略。在保持固有的分布式本质的同时,基于DSPA的传感器重定位能够将传感器移动与整个MSN目标对准。这种方法还考虑了随着传感器重新定位的突然拓扑变化的可能性。

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