DV-Hop Propagation Based Localization in Wireless Sensor Networks

K. M. Saifuddin, G. D. Devanagavi
{"title":"DV-Hop Propagation Based Localization in Wireless Sensor Networks","authors":"K. M. Saifuddin, G. D. Devanagavi","doi":"10.1109/ICAECC54045.2022.9716645","DOIUrl":null,"url":null,"abstract":"Sensors have a strong connection to the real world, which sets them apart from conventional networks in a major way. Through the use of a variety of sensing devices as well as the processing of raw data, sensor networks may detect & monitor physical phenomena occurring in the locations/regions where even the sensors are located or deployed. Physical phenomena linked with geographic locations/regions are much more important to users of wireless sensor networks over raw data from individual sensor nodes. Geospatial information is becoming more important in sensor networks and applications, and sensor nodes having GPS signal receivers become more widely available. Sensor nodes may also be located without GPS using a variety of localization methods. A location-aware sensor network is now possible thanks to these recent technological advancements. To address the issue of estimating the location and position among wireless sensor nodes, new approaches, techniques, and algorithms must be created. In order to achieve this goal, In this Paper, we are proposing a Distance Vector Hop (DV-Hop) algorithm that Significantly decreases the average of localization error of sensor nodes and which is a solution for localizing nodes having few adjacent anchors. simulation results prove that the proposed algorithm substantially reduces the average of localization error of sensor nodes","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECC54045.2022.9716645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Sensors have a strong connection to the real world, which sets them apart from conventional networks in a major way. Through the use of a variety of sensing devices as well as the processing of raw data, sensor networks may detect & monitor physical phenomena occurring in the locations/regions where even the sensors are located or deployed. Physical phenomena linked with geographic locations/regions are much more important to users of wireless sensor networks over raw data from individual sensor nodes. Geospatial information is becoming more important in sensor networks and applications, and sensor nodes having GPS signal receivers become more widely available. Sensor nodes may also be located without GPS using a variety of localization methods. A location-aware sensor network is now possible thanks to these recent technological advancements. To address the issue of estimating the location and position among wireless sensor nodes, new approaches, techniques, and algorithms must be created. In order to achieve this goal, In this Paper, we are proposing a Distance Vector Hop (DV-Hop) algorithm that Significantly decreases the average of localization error of sensor nodes and which is a solution for localizing nodes having few adjacent anchors. simulation results prove that the proposed algorithm substantially reduces the average of localization error of sensor nodes
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于dv跳传播的无线传感器网络定位
传感器与现实世界有着紧密的联系,这使它们在很大程度上有别于传统网络。通过使用各种传感设备以及对原始数据的处理,传感器网络可以检测和监测发生在传感器所在或部署的位置/区域的物理现象。与地理位置/区域相关的物理现象对无线传感器网络的用户来说比来自单个传感器节点的原始数据重要得多。地理空间信息在传感器网络和应用中变得越来越重要,具有GPS信号接收器的传感器节点变得越来越广泛。传感器节点也可以在没有GPS的情况下使用各种定位方法进行定位。由于这些最新的技术进步,位置感知传感器网络现在成为可能。为了解决无线传感器节点之间的位置估计问题,必须创建新的方法、技术和算法。为了实现这一目标,本文提出了一种距离矢量跳(Distance Vector Hop, DV-Hop)算法,该算法显著降低了传感器节点的平均定位误差,解决了相邻锚点较少的节点定位问题。仿真结果表明,该算法大大降低了传感器节点定位误差的平均值
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Highly Accurate Static Hand Gesture Recognition Model Using Deep Convolutional Neural Network for Human Machine Interaction DV-Hop Propagation Based Localization in Wireless Sensor Networks A Proposed Algorithm to Perform Few Shot Learning with different sampling sizes OpenGL Based Simulation Test Bed for Aircraft Ground Telemetry System using Antenna Beam Forming Energy Efficiency and BER analysis of Concatenated FEC Coded MIMO-OFDM-FSO System
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1