Lightweight localisation approach for WSNs: performance analysis and validation

IF 1.5 Q3 TELECOMMUNICATIONS
Marco Santic, L. Pomante, C. Rinaldi
{"title":"Lightweight localisation approach for WSNs: performance analysis and validation","authors":"Marco Santic, L. Pomante, C. Rinaldi","doi":"10.1049/iet-wss.2018.5213","DOIUrl":null,"url":null,"abstract":"Wireless sensor networks (WSNs) have become very popular in recent years due to their wide applications’ spectrum. One of the main issues arising while conceiving with WSNs functionality is the opportunity of developing a proper localisation algorithm that has to be tailored basing on hw/sw nodes limitations. This study proposes a localisation algorithm for WSNs based on received signal strength measurements whose results, although comparable with existing localisation algorithms, proves here to be of practical implementation on devices with very low computational capabilities as well as efficient in real-time usages. Extensive simulations and indoor/outdoor experimental measurements have been performed to verify the effectiveness of the proposed algorithm, taking also into account implementation issues on commercial sensor nodes.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Wireless Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/iet-wss.2018.5213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

Wireless sensor networks (WSNs) have become very popular in recent years due to their wide applications’ spectrum. One of the main issues arising while conceiving with WSNs functionality is the opportunity of developing a proper localisation algorithm that has to be tailored basing on hw/sw nodes limitations. This study proposes a localisation algorithm for WSNs based on received signal strength measurements whose results, although comparable with existing localisation algorithms, proves here to be of practical implementation on devices with very low computational capabilities as well as efficient in real-time usages. Extensive simulations and indoor/outdoor experimental measurements have been performed to verify the effectiveness of the proposed algorithm, taking also into account implementation issues on commercial sensor nodes.
wsn的轻量级本地化方法:性能分析和验证
无线传感器网络(WSNs)由于其广泛的应用范围,近年来变得非常流行。在构思wsn功能时出现的主要问题之一是开发适当的定位算法的机会,该算法必须根据硬件/软件节点的限制进行定制。本研究提出了一种基于接收信号强度测量的wsn定位算法,其结果虽然与现有的定位算法相当,但在计算能力非常低的设备上可以实际实现,并且在实时使用中效率很高。已经进行了大量的模拟和室内/室外实验测量,以验证所提出算法的有效性,同时考虑到商业传感器节点的实现问题。
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 求助全文
来源期刊
IET Wireless Sensor Systems
IET Wireless Sensor Systems TELECOMMUNICATIONS-
CiteScore
4.90
自引率
5.30%
发文量
13
审稿时长
33 weeks
期刊介绍: IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.
文献相关原料
公司名称 产品信息 采购帮参考价格
×
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