Enhancing the Stability of the Improved-LEACH Routing Protocol for WSNs

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of ICT Research and Applications Pub Date : 2018-04-30 DOI:10.5614/ITBJ.ICT.RES.APPL.2018.12.1.1
Ammar S. Al-Zubaidi, Ahmad Ariffin, Abdulrahman K. Al-Qadhi
{"title":"Enhancing the Stability of the Improved-LEACH Routing Protocol for WSNs","authors":"Ammar S. Al-Zubaidi, Ahmad Ariffin, Abdulrahman K. Al-Qadhi","doi":"10.5614/ITBJ.ICT.RES.APPL.2018.12.1.1","DOIUrl":null,"url":null,"abstract":"Recently, increasing battery lifetime in wireless sensor networks has turned out to be one of the major challenges faced by researchers. The sensor nodes in wireless sensor networks use a battery as their power source, which is hard to replace during deployment. Low Energy Adaptive Clustering Hierarchy (LEACH) is one of the most prominent wireless sensor network routing protocols that have been proposed to improve network lifetime by utilizing energy-efficient clustering. However, LEACH has some issues related to cluster-head selection, where the selection is done randomly. This leads to rapid loss of energy in the network. Improved LEACH is a LEACH alternative that has the ability to increase network lifetime by using the nodes’ residual energy and their distance to the base station to select cluster-head nodes. However, Improved LEACH causes reduced stability, where the stability period is the duration before the death of the first node. The network stability period is important for applications that require reliable feedback from the network. Thus, we were motivated to investigate the Improved LEACH algorithm and to try to solve the stability problem. A new protocol is proposed in this paper: Stable Improved Low Energy Adaptive Clustering Hierarchy (SILEACH), which was developed to overcome the flaws of the Improved LEACH protocol. SILEACH balances the load between the nodes by utilizing an optimized method that considers the nodes’ distance to the base station and their residual energy to select the cluster-head nodes and considers the nodes’ distance to the cluster head and the base station to form clusters. The simulation results revealed that SILEACH is significantly more efficient than Improved LEACH in terms of stability period and network lifetime.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":"12 1","pages":"1-13"},"PeriodicalIF":0.5000,"publicationDate":"2018-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of ICT Research and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5614/ITBJ.ICT.RES.APPL.2018.12.1.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 17

Abstract

Recently, increasing battery lifetime in wireless sensor networks has turned out to be one of the major challenges faced by researchers. The sensor nodes in wireless sensor networks use a battery as their power source, which is hard to replace during deployment. Low Energy Adaptive Clustering Hierarchy (LEACH) is one of the most prominent wireless sensor network routing protocols that have been proposed to improve network lifetime by utilizing energy-efficient clustering. However, LEACH has some issues related to cluster-head selection, where the selection is done randomly. This leads to rapid loss of energy in the network. Improved LEACH is a LEACH alternative that has the ability to increase network lifetime by using the nodes’ residual energy and their distance to the base station to select cluster-head nodes. However, Improved LEACH causes reduced stability, where the stability period is the duration before the death of the first node. The network stability period is important for applications that require reliable feedback from the network. Thus, we were motivated to investigate the Improved LEACH algorithm and to try to solve the stability problem. A new protocol is proposed in this paper: Stable Improved Low Energy Adaptive Clustering Hierarchy (SILEACH), which was developed to overcome the flaws of the Improved LEACH protocol. SILEACH balances the load between the nodes by utilizing an optimized method that considers the nodes’ distance to the base station and their residual energy to select the cluster-head nodes and considers the nodes’ distance to the cluster head and the base station to form clusters. The simulation results revealed that SILEACH is significantly more efficient than Improved LEACH in terms of stability period and network lifetime.
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
提高改进的LEACH路由协议在无线传感器网络中的稳定性
近年来,提高无线传感器网络的电池寿命已成为研究人员面临的主要挑战之一。无线传感器网络中的传感器节点使用电池作为其电源,电池在部署过程中难以更换。低能量自适应聚类层次(LEACH)是无线传感器网络路由协议中最重要的一种,它通过利用节能聚类来提高网络的生存时间。然而,LEACH有一些与簇头选择相关的问题,其中选择是随机进行的。这将导致网络中能量的快速损失。改进的LEACH是一种LEACH替代方案,它能够通过使用节点的剩余能量和它们到基站的距离来选择簇头节点来增加网络寿命。然而,改进的LEACH导致稳定性降低,其中稳定周期是第一个节点死亡之前的持续时间。对于需要从网络获得可靠反馈的应用来说,网络稳定周期非常重要。因此,我们有动机研究改进的LEACH算法,并尝试解决稳定性问题。本文提出了一种新的协议:稳定改进的低能量自适应聚类层次(SILEACH)协议,该协议是为了克服改进LEACH协议的缺陷而开发的。SILEACH通过考虑节点到基站的距离及其剩余能量来选择簇头节点,并考虑节点到簇头和基站的距离来组成簇的优化方法来平衡节点之间的负载。仿真结果表明,SILEACH在稳定周期和网络寿命方面都明显优于Improved LEACH。
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
Journal of ICT Research and Applications
Journal of ICT Research and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
1.60
自引率
0.00%
发文量
13
审稿时长
24 weeks
期刊介绍: Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
期刊最新文献
Smart Card-based Access Control System using Isolated Many-to-Many Authentication Scheme for Electric Vehicle Charging Stations The Evaluation of DyHATR Performance for Dynamic Heterogeneous Graphs Machine Learning-based Early Detection and Prognosis of the Covid-19 Pandemic Improving Robustness Using MixUp and CutMix Augmentation for Corn Leaf Diseases Classification based on ConvMixer Architecture Generative Adversarial Networks Based Scene Generation on Indian Driving Dataset
×
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