Maintaining connectivity in mobile adhoc networks using distributed optimisation

R. Hunjet, P. Hui
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引用次数: 5

Abstract

Placement of relay nodes in a wireless sensor network has been considered throughout the literature. The problem becomes more complex when we consider placing additional nodes into a mobile adhoc network. The mobility of the network requires that relay placement be changed constantly in order to maintain network connectivity, and the calculation of relay co-ordinates must take place using partial (non-global) information due to scalability issues. This paper introduces the concept of performing distributed MANET relay placement within nodes' n-hop neighbourhoods. Networked Autonomous Vehicles (NAVs) act as mobile relays placing themselves at chosen locations. Various algorithms to maintain connectivity are suggested and compared, the most efficient being a bridge and articulation point detection (BAP) algorithm. It is shown that the combined use of up to five additional relay nodes and this algorithm can increase the average ground unit network connectivity by up to 82% and the size of the network's largest segment by up to 54% in mobile adhoc networks of 10 to 25 nodes.
使用分布式优化维护移动自组网中的连通性
在整个文献中都考虑了无线传感器网络中中继节点的放置。当我们考虑在移动自组织网络中放置额外的节点时,问题变得更加复杂。网络的移动性要求不断改变中继位置以保持网络连通性,并且由于可伸缩性问题,中继坐标的计算必须使用部分(非全局)信息进行。本文介绍了在节点的n跳邻居中执行分布式MANET中继放置的概念。联网自动驾驶汽车(nav)充当移动中继,将自己放置在选定的位置。提出并比较了各种保持连接的算法,其中最有效的是桥接点检测(BAP)算法。结果表明,在10到25个节点的移动自组织网络中,最多使用5个额外中继节点和该算法可以将平均地面单元网络连通性提高82%,网络最大段的大小提高54%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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