Mobility-based internetworking of disjoint segments

Yatish K. Joshi, M. Younis
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引用次数: 13

Abstract

Wireless sensor networks (WSNs) deployed in inhospitable environments are at increased risk of failure due to malicious enemy action, environmental causes or component malfunction. Large scale failure can divide a network into disjoint segments and disrupt its operation. Reestablishing inter-segment connectivity is of paramount importance to ensure that the network functions effectively. Mobile nodes within surviving disjoint segments can be used to serve as mobile data collectors (MDCs) to tour individual segments and reconnect them by ferrying messages. However finding shortest tours for MDCs is a NP hard problem. In this paper we present a mobility based polynomial time approach for internetworking of disjoint segments (MINDS) by using k MDCs to establish tours between segments. MINDs aims to not only minimize total tour length but also balance the load equitably between the k MDCs. MINDS uses a divide and conquer approach to successively split the larger tour into two around a central node at every step, until we obtain k optimized tours. MINDS is validated through simulation and is shown outperform competing schemes in the literature.
基于移动性的不相交路段互联
部署在恶劣环境中的无线传感器网络(wsn)由于恶意敌人行为、环境原因或组件故障而面临更高的故障风险。大规模的故障可以将网络分割成不相交的部分并中断其运行。重新建立网段间的连通性对于确保网络的有效运行至关重要。存活的不连接段中的移动节点可以用作移动数据收集器(mdc),以遍历各个段并通过传递消息重新连接它们。然而,寻找最优路径是一个NP困难问题。在本文中,我们提出了一种基于迁移率的多项式时间方法,通过使用k个mdc来建立区段之间的旅行。MINDs的目标不仅是最小化总行程长度,而且在k个mdc之间公平地平衡负载。MINDS使用分而治之的方法,在每一步围绕中心节点依次将较大的巡回分成两个,直到我们获得k个优化的巡回。通过仿真验证了MINDS,并显示其优于文献中的竞争方案。
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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