Energy Saving Hierarchical Routing Protocol in WSN

Author:

Parvathi C.,Talanki Suresha

Abstract

The area of Wireless Sensor Networks (WSN) bring a new era of connected on-demand embedding systems which are mostly resource constrained. Despite of having design and operational challenges in real-time, WSN is currently being deployed for wide range of applications where traditional networking systems are most of time unfeasible. The prime focus of the study is to realize the significance of energy efficient routing in WSN. The core motivation is derived by addressing energy problems of WSN. An extensive analysis drawn from reviewing literatures, clearly shows that very few studies incorporated optimization towards modeling the routing schema. This chapter introduces a methodology consisting of three different types of analytical modeling where two of them focus on energy efficient clustering and another one is integrated to attain higher degree of security during data aggregation. The chapter basically provides an insight into the background of the problem which is related with the energy and security in WSN and also further provides preliminary information regarding the research overview. Further the study performs a thorough investigation on existing literatures to extract the open research problem. It basically highlights the gap which still exists and does not meet the requirements of proper energy and security demands. Literature survey on hierarchical protocols of WSN and their basic characteristics towards energy conservation is performed.

Publisher

IntechOpen

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advanced Routing Protocols for Wireless Sensor Network: Review;REST Journal on Data Analytics and Artificial Intelligence;2024-09-06

2. Energy Efficiency Routing Algorithms in IoT: A Survey;Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022;2022-11-18

同舟云学术

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