Analysis of network connectivity: Wildlife and Sensor Network

S. Sivaramakrishnan, A. Al-Anbuky
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引用次数: 12

Abstract

Connectivity Maintenance for mobile nodes is an important issue in Ad-hoc Wireless Sensor Network application like Wildlife Monitoring wherein data needs to be constantly captured and analysed to track and study animals. The random nature of the animal movement makes the task of tracking quite challenging. The work presented here attempts at addressing and analysing the issue of node connectivity as the network situation changes from dense to sparse and vice versa. Here we are looking at establishing Hand-Off to provide connectivity via next hop nodes and analyse its effect on the duration of connectivity. This is done by determining the transmitting radius of the nodes for maximum coverage, based on the maximum velocity of the animal carrying the node. To over-come the problem of network holes formed due to dynamically varying node densities in the network, we establish an adaptive and energy efficient sampling scheme. Preliminary modelling results reflects that the duration of connectivity hyperbolically reduces with reduction in the overlap of mobile and receiving node, and that the mobile node is able to quickly adapt itself by predicting the values for the next hop node with a small number of sample inputs.
网络连通性分析:野生动物和传感器网络
移动节点的连接维护是Ad-hoc无线传感器网络应用(如野生动物监测)中的一个重要问题,其中需要不断捕获和分析数据以跟踪和研究动物。动物运动的随机性使得追踪任务颇具挑战性。本文介绍的工作试图解决和分析节点连接问题,因为网络情况从密集到稀疏,反之亦然。在这里,我们将研究如何建立Hand-Off,通过下一跳节点提供连接,并分析其对连接持续时间的影响。这是通过根据携带节点的动物的最大速度确定节点的最大覆盖范围的传播半径来完成的。为了克服由于网络中节点密度动态变化而形成的网络漏洞问题,我们建立了一种自适应的节能采样方案。初步的建模结果表明,随着移动节点和接收节点重叠的减少,连接持续时间呈双曲线递减,并且移动节点能够通过少量样本输入预测下一跳节点的值来快速适应自身。
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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