基于PSO DV-Hop的无线传感器网络死节点重定位方法

V. Kanwar, Ashok Kumar
{"title":"基于PSO DV-Hop的无线传感器网络死节点重定位方法","authors":"V. Kanwar, Ashok Kumar","doi":"10.1109/INDIACom51348.2021.00105","DOIUrl":null,"url":null,"abstract":"Localization of sensor nodes in wireless sensor networks (WSNs) is one of the major challenges. It helps in evaluating the position of an unsettled object. In wireless sensor network, energy utilization is the important matter in localization of nodes. In WSNs, sensor nodes are situated in the network for one time. But in real life, it was found that few nodes may stop working and become dead. This may be happened due to battery failure or any technical fault. In this case, extra nodes are situated in the network to overcome the communication hole. The purpose of this research is to minimize the computational time by considering only extra nodes for relocalization. For this purpose, we have proposed two methods using particle swarm optimization (PSO) based distance vector hop (DV-Hop) relocalization for estimating the position of unknown nodes. Through simulation results, we conclude that our PSO DV-Hop effectively minimizes the computation time and localization error.","PeriodicalId":415594,"journal":{"name":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PSO DV-Hop based Relocalization Methods for Dead Nodes in Wireless Sensor Networks\",\"authors\":\"V. Kanwar, Ashok Kumar\",\"doi\":\"10.1109/INDIACom51348.2021.00105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Localization of sensor nodes in wireless sensor networks (WSNs) is one of the major challenges. It helps in evaluating the position of an unsettled object. In wireless sensor network, energy utilization is the important matter in localization of nodes. In WSNs, sensor nodes are situated in the network for one time. But in real life, it was found that few nodes may stop working and become dead. This may be happened due to battery failure or any technical fault. In this case, extra nodes are situated in the network to overcome the communication hole. The purpose of this research is to minimize the computational time by considering only extra nodes for relocalization. For this purpose, we have proposed two methods using particle swarm optimization (PSO) based distance vector hop (DV-Hop) relocalization for estimating the position of unknown nodes. Through simulation results, we conclude that our PSO DV-Hop effectively minimizes the computation time and localization error.\",\"PeriodicalId\":415594,\"journal\":{\"name\":\"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDIACom51348.2021.00105\",\"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 8th International Conference on Computing for Sustainable Global Development (INDIACom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIACom51348.2021.00105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

无线传感器网络(WSNs)中传感器节点的定位是一个主要的挑战。它有助于评估不稳定物体的位置。在无线传感器网络中,能量利用是节点定位的重要问题。在无线传感器网络中,传感器节点只在网络中存在一次。但在现实生活中,人们发现少数节点可能会停止工作并死亡。这可能是由于电池故障或任何技术故障造成的。在这种情况下,在网络中设置额外的节点来克服通信漏洞。本研究的目的是通过只考虑额外的节点进行重新定位,从而最大限度地减少计算时间。为此,我们提出了两种基于粒子群优化(PSO)的距离向量跳(DV-Hop)重定位方法来估计未知节点的位置。仿真结果表明,该算法有效地降低了定位误差和计算时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PSO DV-Hop based Relocalization Methods for Dead Nodes in Wireless Sensor Networks
Localization of sensor nodes in wireless sensor networks (WSNs) is one of the major challenges. It helps in evaluating the position of an unsettled object. In wireless sensor network, energy utilization is the important matter in localization of nodes. In WSNs, sensor nodes are situated in the network for one time. But in real life, it was found that few nodes may stop working and become dead. This may be happened due to battery failure or any technical fault. In this case, extra nodes are situated in the network to overcome the communication hole. The purpose of this research is to minimize the computational time by considering only extra nodes for relocalization. For this purpose, we have proposed two methods using particle swarm optimization (PSO) based distance vector hop (DV-Hop) relocalization for estimating the position of unknown nodes. Through simulation results, we conclude that our PSO DV-Hop effectively minimizes the computation time and localization error.
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:604180095
Book学术官方微信