Localizing Mobile Nodes in WSNs using Dragonfly Algorithm

G. Walia, Parulpreet Singh, Manwinder Singh
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引用次数: 1

Abstract

The most fundamental and important parameter in Wireless Sensor Networks (WSNs) is to locate the actual location of the node which is supposed to be the target. To locate the node, the utmost parameter is to determine the coordinates of the nodes otherwise all the information which is accumulated using the other sensor nodes will be of no use and hence the communication will be erroneous and may become as a source of interference for all the nodes. Thus for majority of the application under WSNs, necessity is to find the exact geographical location of the target nodes. In this paper, to compute the location of randomly moving target nodes an algorithm known as Dragon Fly Metaheuristic algorithm is used. A node whose position is known is normally deployed in the middle of the region which is to be sensed. The effectiveness of the DA method may be determined by getting results and comparing performance metrics such as the number of localised nodes, location, and scalability.
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基于蜻蜓算法的无线传感器网络移动节点定位
在无线传感器网络(WSNs)中,最基本和最重要的参数是确定目标节点的实际位置。要对节点进行定位,最重要的参数是确定节点的坐标,否则使用其他传感器节点积累的所有信息都将无效,从而导致通信错误,并可能成为所有节点的干扰源。因此,对于大多数在wsn下的应用来说,必须找到目标节点的准确地理位置。为了计算随机移动目标节点的位置,本文采用了蜻蜓元启发式算法。位置已知的节点通常部署在待感知区域的中间。数据分析方法的有效性可以通过获得结果和比较性能指标(如局部节点的数量、位置和可伸缩性)来确定。
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