基于蜻蜓算法的无线传感器网络移动节点定位

G. Walia, Parulpreet Singh, Manwinder Singh
{"title":"基于蜻蜓算法的无线传感器网络移动节点定位","authors":"G. Walia, Parulpreet Singh, Manwinder Singh","doi":"10.1109/ICCS54944.2021.00051","DOIUrl":null,"url":null,"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.","PeriodicalId":340594,"journal":{"name":"2021 International Conference on Computing Sciences (ICCS)","volume":"251 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Localizing Mobile Nodes in WSNs using Dragonfly Algorithm\",\"authors\":\"G. Walia, Parulpreet Singh, Manwinder Singh\",\"doi\":\"10.1109/ICCS54944.2021.00051\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":340594,\"journal\":{\"name\":\"2021 International Conference on Computing Sciences (ICCS)\",\"volume\":\"251 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computing Sciences (ICCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCS54944.2021.00051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computing Sciences (ICCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCS54944.2021.00051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Localizing Mobile Nodes in WSNs using Dragonfly Algorithm
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信