基于多智能体随机行走的wsn低复杂度地标节点跟踪

Surender Redhu, R. Hegde
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引用次数: 0

摘要

移动接收器通常用于无线传感器网络中,以实现高能效的数据收集。大规模网络中移动sink的调度是一个具有挑战性的问题。将网络中的节点作为标杆节点,通过聚类方法进行跟踪,可以实现高效的移动sink调度。提出了一种基于网络图上多智能体随机行走的地标节点跟踪方法。该方法在保持聚类效率的同时保证了较低的复杂度,特别是在大型WSN上。此外,它是节能的,提高了网络的寿命。通过分析多智能体随机行走的覆盖时间和命中时间,说明了该方法的低复杂度。在英特尔伯克利研究实验室数据上获得的大量实验结果表明,当所提出的方法用于地标节点跟踪时,能源效率和计算复杂性有了很大的提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low complexity landmark-node tracing in WSNs using multi-agent random walks
Mobile sinks are generally used in wireless sensor networks for energy-efficient data collection. Scheduling of mobile sink in a large scale network is a challenging problem. Tracing of some nodes in the network as landmark-nodes, via clustering can lead to efficient mobile sink scheduling. In this paper, a novel method for landmark-node tracing based on multi-agent random walks on network graphs is proposed. This method ensures low complexity while maintaining the clustering efficiency, especially over large WSN. Additionally, it is energy-efficient and improves the lifetime of a network. Low complexity of the proposed method is illustrated by analysing the cover time and hitting time of multi-agent random walks. Extensive experimental results obtained on Intel Berkeley Research Lab data indicate large improvements in energy-efficiency and computational complexity when the proposed method is used for landmark-node tracing.
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