GPS-less localization protocol for underwater acoustic networks

A. Othman
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引用次数: 43

Abstract

The problem of underwater positioning is increasingly crucial due to the emerging importance of sub-sea activities. Knowledge of node location is essential for many applications for which sensor networks can be used. At the surface, positioning problems have been resolved by the extended use of GPS, which is straightforward and effective. Unfortunately, using GPS in the sub-sea environment is impossible and positioning requires the use of special systems. One of the major challenges in the underwater acoustic networks (UANs) area of research is the development of a networking protocol that can cope with the management of a dynamic sub-sea network. We propose a scheme to perform node discovery, using only one seed node (primary seed) in a known position. The discovery protocol can be divided into two parts: First, building up the relative co-ordinate system. Second, involving more remote nodes becoming seed nodes for further discoveries. Four different algorithms have been investigated; (i) Farthest/Farthest Algorithm, (ii) Farthest/Nearest Algorithm, (iii) Nearest/Farthest Algorithm and (iv) Nearest/Nearest Algorithm. We investigated the performances of random network topologies. Different locations of primary seed node were exercised and statistics for node discovery will be reported.
水声网络无gps定位协议
由于海底活动的重要性日益凸显,水下定位问题变得越来越重要。节点位置的知识对于传感器网络的许多应用是必不可少的。在地面上,GPS的推广使用解决了定位问题,简单有效。不幸的是,在海底环境中使用GPS是不可能的,定位需要使用特殊的系统。水声网络(UANs)研究领域的主要挑战之一是开发一种能够应付动态海底网络管理的网络协议。我们提出了一种仅使用一个已知位置的种子节点(主种子)来执行节点发现的方案。发现协议可分为两个部分:第一,建立相对坐标系统。第二,让更多的远程节点成为进一步发现的种子节点。研究了四种不同的算法;(i)最远/最远算法,(ii)最远/最近算法,(iii)最近/最远算法和(iv)最近/最近算法。我们研究了随机网络拓扑的性能。对主种子节点的不同位置进行了运算,并报告了节点发现的统计数据。
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