A new optimal relay nodes selection method for wireless sensor networks

Gholamreza Kakamanshadi, Savita Gupta, Sukhwinder Singh
{"title":"A new optimal relay nodes selection method for wireless sensor networks","authors":"Gholamreza Kakamanshadi, Savita Gupta, Sukhwinder Singh","doi":"10.1109/KBEI.2019.8735069","DOIUrl":null,"url":null,"abstract":"in wireless sensor network, sensor nodes are prone to failure due to different reasons such as environmental impact, radio interference and battery depletion, thus it is extremely vital to integrate an effective fault tolerance method within the network. Furthermore, selection of an optimal path for transmitting sensed data to the base station is significant. This paper presents a new method called optimal relay node selection, which selects two optimal relay nodes based on residual energy, failure probability, distance to relay node and total distance to base station for every collector node. Analytic hierarchy process method was used to determine the weights of relay nodes and Promethee method was used for outranking them. Furthermore, when a primary relay node fails, this method selects the secondary for providing fault tolerance against path failure. The results show that the proposed method outperforms existing algorithms in terms of First Relay Node Dead, Half Relay Node Alive, energy efficiency and throughput.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KBEI.2019.8735069","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

in wireless sensor network, sensor nodes are prone to failure due to different reasons such as environmental impact, radio interference and battery depletion, thus it is extremely vital to integrate an effective fault tolerance method within the network. Furthermore, selection of an optimal path for transmitting sensed data to the base station is significant. This paper presents a new method called optimal relay node selection, which selects two optimal relay nodes based on residual energy, failure probability, distance to relay node and total distance to base station for every collector node. Analytic hierarchy process method was used to determine the weights of relay nodes and Promethee method was used for outranking them. Furthermore, when a primary relay node fails, this method selects the secondary for providing fault tolerance against path failure. The results show that the proposed method outperforms existing algorithms in terms of First Relay Node Dead, Half Relay Node Alive, energy efficiency and throughput.
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
一种新的无线传感器网络中继节点优化选择方法
在无线传感器网络中,传感器节点容易因环境影响、无线电干扰、电池耗尽等不同原因而发生故障,因此在网络中集成有效的容错方法至关重要。此外,选择将感测数据传输到基站的最优路径是重要的。提出了一种基于剩余能量、故障概率、到中继节点的距离和到基站的总距离的中继节点最优选择方法。采用层次分析法确定中继节点的权重,采用普罗米修斯法对中继节点进行排序。此外,当主中继节点发生故障时,该方法选择辅助节点,以提供对路径故障的容错能力。结果表明,该方法在第一中继节点死亡、半中继节点存活、能量效率和吞吐量方面都优于现有算法。
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
Profitability Prediction for ATM Transactions Using Artificial Neural Networks: A Data-Driven Analysis Fabrication of UV detector by Schottky Pd/ZnO/Si Contacts Hybrid of genetic algorithm and krill herd for software clustering problem Development of a Hybrid Bayesian Network Model for Hydraulic Simulation of Agricultural Water Distribution and Delivery Using SIFT Descriptors for Face Recognition Based on Neural Network and Kepenekci Approach
×
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