一种与位置和移动性无关的移动传感器网络节点邻域稳定性量化方案

Q4 Business, Management and Accounting
N. Meghanathan
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引用次数: 0

摘要

我们提出在不使用移动传感器网络(MSN)中节点的位置和移动信息的情况下,量化节点的邻域稳定性。我们利用Jaccard相似性的概念来量化任意两个连续采样时刻之间节点的邻居集的相似性,并计算一段时间内Jaccard邻居相似性(WJNS)的加权平均值。我们的假设是,WJNS得分较大的节点有一个稳定的邻居,可以优先作为稳定路径的中间节点纳入。我们通过大量的模拟验证了我们的假设:基于wjns的路径的生存期明显大于最小跳数路径和基于预测链路过期时间(LET)的路径;与最小跳数路径相比,这种权衡是跳数的边际增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A location and mobility independent scheme to quantify the neighbourhood stability of a node in mobile sensor networks
We propose to quantify the neighbourhood stability of a node without using the location and mobility information of the nodes in a mobile sensor network (MSN). We make use of the notion of Jaccard similarity to quantify the similarity in the sets of neighbours of a node between any two successive sampling time instants and compute the weighted average of the Jaccard neighbourhood similarity (WJNS) over a period of time. Our hypothesis is that nodes with larger WJNS scores have a stable neighbourhood and could be preferred for inclusion as intermediate nodes for stable paths. We validate our hypothesis through extensive simulations: The lifetime of the WJNS-based paths is significantly larger than that of the minimum hop paths and the predicted link expiration time (LET)-based paths; the trade-off being a marginal increase in the hop count compared to that of the minimum hop paths.
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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