AEr-Aware Data Aggregation in Wireless Sensor Network Using Hybrid Multi-Verse-Optimized Connected Dominant Set
Author:
Affiliation:
1. Periyar University, India
2. Namakkal Kavignar Ramalingam Government Arts College for Women, India
Abstract
Wireless sensor network (WSN) refers to emerging technology with great promise for different applications in the military and mass public. Sensing technology, when combined with wireless communication and processing power, can make it quite lucrative to be exploited to a great extent in the future. The selection of clustering-based optimal cluster head (CH) in the WSN can be a very efficient technique that is important to improve the lifetime of the network. However, enforcing an optimal CH selection that is based on the stabilization of energy, reduced distance between the sensor nodes, and minimized delay can be a major challenge. Since there is no centralized control or fixed infrastructure for the WSN, there can be a connected dominating set (CDS) that may work in the form of a virtual backbone to ensure efficient connectivity and routing. In this work, an optimized multi-hop low-energy adaptive clustering hierarchy (M-LEACH) protocol for the WSNs was proposed.
Publisher
IGI Global
Subject
Information Systems
Reference20 articles.
1. A multi-layer low-energy adaptive clustering hierarchy for wireless sensor network
2. Energy Optimization in Wireless Sensor Network using Clustering and PSO Algorithm.;B. V.Divakar;International Research Journal of Engineering and Technology,2020
3. Improved Cuckoo Search-based Clustering Protocol for Wireless Sensor Networks
4. PSO-based sink placement and load-balanced anycast routing in multi-sink WSNs considering compressive sensing theory
5. Kamfar, J., Zandhessami, H., & Alborzi, M. (2021). Design of Optimal Localization Model for Wireless Sensor Network Nodes Using Improved Krill Herd Algorithm.
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3