Enriched energy optimized LEACH protocol for efficient data transmission in wireless sensor network

IF 2.1 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Wireless Networks Pub Date : 2024-06-23 DOI:10.1007/s11276-024-03802-5
V. Rajaram, V. Pandimurugan, S. Rajasoundaran, Paul Rodrigues, S. V. N. Santhosh Kumar, M. Selvi, V. Loganathan
{"title":"Enriched energy optimized LEACH protocol for efficient data transmission in wireless sensor network","authors":"V. Rajaram, V. Pandimurugan, S. Rajasoundaran, Paul Rodrigues, S. V. N. Santhosh Kumar, M. Selvi, V. Loganathan","doi":"10.1007/s11276-024-03802-5","DOIUrl":null,"url":null,"abstract":"<p>A wireless sensor network (WSN) is made up of many sensor nodes with insufficient energy, storage, and processing capabilities. Data gathering and transmission to the base station are two of the main responsibilities of the sensor nodes (BS). As a result, the network lifespan becomes the key factor in the successful design of data collection strategies in WSN. In this study, we provide the Enriched energy optimized LEACH (EE-OLEACH) protocol for data transfer. Through a combination of efficient optimum clustering and an optimal route selection mechanism, it provides a means for energy-efficient routing in WSN. The Homogeneous Hunter-Wolf optimization (HHWO) is used for clustering, and a cluster head is chosen for each cluster to reduce energy loss among sensor nodes and maximize efficiency in their use of available resources. Nodes with the highest residual energy may receive the most energy-efficient routing. In order to send the data to BS, the nodes with the greatest residual energy are chosen. The pheromone-profound Ant optimization (PPAO) method was then used to reduce energy consumption throughout the path-selection process. It contributes to a higher packet delivery ratio while reducing power consumption. According to the experimental findings, the proposed EE-OLEACH performs better than the current Protocol in terms of packet delivery ratio, end-to-end latency, and energy usage. In this paper, we compare the performance of the existing hierarchical routing protocols under varying conditions (packet size, starting energy level, etc.) and demonstrate how the optimal CH selection based on a suggested algorithm improves both network lifetime and energy consumption. The Simulation results shows that the EE-OLEACH enhances energy efficiency by 30%, delay by 35%, node survived by 45%, network lifetime by 56%, packet delivery ratio by 47% and throughput by 38% when compared with other existing protocols. The results clearly show that the suggested EE-OLEACH extends the lifespan of the network and reduce the energy consumption.</p>","PeriodicalId":23750,"journal":{"name":"Wireless Networks","volume":"26 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wireless Networks","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s11276-024-03802-5","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

A wireless sensor network (WSN) is made up of many sensor nodes with insufficient energy, storage, and processing capabilities. Data gathering and transmission to the base station are two of the main responsibilities of the sensor nodes (BS). As a result, the network lifespan becomes the key factor in the successful design of data collection strategies in WSN. In this study, we provide the Enriched energy optimized LEACH (EE-OLEACH) protocol for data transfer. Through a combination of efficient optimum clustering and an optimal route selection mechanism, it provides a means for energy-efficient routing in WSN. The Homogeneous Hunter-Wolf optimization (HHWO) is used for clustering, and a cluster head is chosen for each cluster to reduce energy loss among sensor nodes and maximize efficiency in their use of available resources. Nodes with the highest residual energy may receive the most energy-efficient routing. In order to send the data to BS, the nodes with the greatest residual energy are chosen. The pheromone-profound Ant optimization (PPAO) method was then used to reduce energy consumption throughout the path-selection process. It contributes to a higher packet delivery ratio while reducing power consumption. According to the experimental findings, the proposed EE-OLEACH performs better than the current Protocol in terms of packet delivery ratio, end-to-end latency, and energy usage. In this paper, we compare the performance of the existing hierarchical routing protocols under varying conditions (packet size, starting energy level, etc.) and demonstrate how the optimal CH selection based on a suggested algorithm improves both network lifetime and energy consumption. The Simulation results shows that the EE-OLEACH enhances energy efficiency by 30%, delay by 35%, node survived by 45%, network lifetime by 56%, packet delivery ratio by 47% and throughput by 38% when compared with other existing protocols. The results clearly show that the suggested EE-OLEACH extends the lifespan of the network and reduce the energy consumption.

Abstract Image

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
用于无线传感器网络高效数据传输的富能量优化 LEACH 协议
无线传感器网络(WSN)由许多传感器节点组成,这些节点的能量、存储和处理能力不足。数据收集和向基站传输是传感器节点(BS)的两项主要职责。因此,网络寿命成为 WSN 成功设计数据收集策略的关键因素。在本研究中,我们提供了用于数据传输的富能量优化 LEACH(EE-OLEACH)协议。通过结合高效的最优聚类和最优路由选择机制,它为 WSN 中的高能效路由选择提供了一种方法。该协议采用同构猎人-狼优化(HHWO)进行聚类,并为每个聚类选择一个簇头,以减少传感器节点之间的能量损耗,最大限度地提高可用资源的使用效率。剩余能量最高的节点可能会获得最节能的路由。为了向 BS 发送数据,会选择剩余能量最大的节点。然后使用信息素-发现蚂蚁优化(PPAO)方法来减少整个路径选择过程中的能量消耗。这有助于提高数据包传送率,同时降低功耗。实验结果表明,所提出的 EE-OLEACH 在数据包传送率、端到端延迟和能耗方面都优于当前协议。在本文中,我们比较了现有分层路由协议在不同条件(数据包大小、起始能量水平等)下的性能,并展示了基于建议算法的最优 CH 选择如何改善网络寿命和能耗。仿真结果表明,与其他现有协议相比,EE-OLEACH 的能效提高了 30%,延迟降低了 35%,节点存活率提高了 45%,网络寿命提高了 56%,数据包传送率提高了 47%,吞吐量提高了 38%。这些结果清楚地表明,建议的 EE-OLEACH 延长了网络的寿命并降低了能耗。
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
Wireless Networks
Wireless Networks 工程技术-电信学
CiteScore
7.70
自引率
3.30%
发文量
314
审稿时长
5.5 months
期刊介绍: The wireless communication revolution is bringing fundamental changes to data networking, telecommunication, and is making integrated networks a reality. By freeing the user from the cord, personal communications networks, wireless LAN''s, mobile radio networks and cellular systems, harbor the promise of fully distributed mobile computing and communications, any time, anywhere. Focusing on the networking and user aspects of the field, Wireless Networks provides a global forum for archival value contributions documenting these fast growing areas of interest. The journal publishes refereed articles dealing with research, experience and management issues of wireless networks. Its aim is to allow the reader to benefit from experience, problems and solutions described.
期刊最新文献
An EEG signal-based music treatment system for autistic children using edge computing devices A DV-Hop localization algorithm corrected based on multi-strategy sparrow algorithm in sea-surface wireless sensor networks Multi-Layer Collaborative Federated Learning architecture for 6G Open RAN Cloud-edge collaboration-based task offloading strategy in railway IoT for intelligent detection Exploiting data transmission for route discoveries in mobile ad hoc networks
×
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