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A game theoretic approach to sensor relocation in mobile sensor networks

机译:移动传感器网络中传感器重定位的博弈论方法

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A mobile sensor network (MSN) is composed of a distributed collection of nodes, each of which has sensing, computation, communication and locomotion capabilities. The locomotion capability of nodes makes mobile sensor networks able to complete various tasks, such as surveillancing over some mission space. In this paper we consider a class of MSN applications which have a limited number of sensors randomly deployed, in a task area, with different coverage values at different positions. The sensors' task is to relocate themselves from initial positions to optimal positions so as to maximize the total values. Towards this task, a distributed relocation protocol, based on a potential game approach, is proposed. Each sensor moves to a better sensor position constrained by the locomotion energy consumption in response to other sensors locomotion. The dynamics will finally converge to an equilibrium point, where no better position can be obtained by deviating from this point, within finite steps. Simulation results show that a good coverage performance can be obtained using our proposed distributed protocol.
机译:移动传感器网络(MSN)由节点的分布式集合组成,每个节点都具有传感,计算,通信和移动功能。节点的移动能力使移动传感器网络能够完成各种任务,例如监视某些任务空间。在本文中,我们考虑一类MSN应用程序,这些应用程序在任务区域中随机部署的传感器数量有限,并且在不同位置具有不同的覆盖率值。传感器的任务是将自身从初始位置重新定位到最佳位置,以使总值最大化。针对这一任务,提出了一种基于潜在游戏方法的分布式重定位协议。每个传感器响应其他传感器的运动而移动到受运动能量消耗约束的更好的传感器位置。动力学最终将收敛到一个平衡点,在有限的步长内无法通过偏离该点获得更好的位置。仿真结果表明,使用我们提出的分布式协议可以获得良好的覆盖性能。

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