Secured Energy-Efficient Routing in Wireless Sensor Networks Using Machine Learning Algorithm

Author:

Ghosh Ahona1ORCID,Ho Chiung Ching2,Bestak Robert3

Affiliation:

1. Brainware University, Kolkata, India

2. Department of Computing and Information Systems, School of Science and Technology, Sunway University, Malaysia

3. Department of Telecommunication Engineering, Czech Technical University in Prague, Czech Republic

Abstract

Wireless sensor networks consist of unattended small sensor nodes having low energy and low range of communication. It has been observed that if there is any system to periodically start and stop the sensors sensing activities, then it saves some energy, and thus, the network lifetime gets extended. According to the current literature, security and energy efficiency are the two main concerns to improve the quality of service during transmission of data in wireless sensor networks. Machine learning has proved its efficiency in developing efficient processes to handle complex problems in various network aspects. Routing in wireless sensor network is the process of finding the route for transmitting data among different sensor nodes according to the requirement. Machine learning has been used in a broad way for designing energy efficient routing protocols, and this chapter reviews the existing works in the said domain, which can be the guide to someone who wants to explore the area further.

Publisher

IGI Global

Reference68 articles.

1. Cluster head selection using decision trees for Wireless Sensor Networks

2. LEACH Robust Routing Approach Applying Machine Learning.;B.Ali;IJCSNS,2019

3. Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

4. HERF: A hybrid energy efficient routing using a fuzzy method in Wireless Sensor Networks

5. Beyens, P., Peeters, M., Steenhaut, K., & Nowe, A. (2005). Routing with compression in wireless sensor networks: a q-learning approach. In Fifth European workshop on adaptive agents and multi-agent systems (AAMAS 05) (Vol. 8). Academic Press.

Cited by 5 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. Machine learning for coverage optimization in wireless sensor networks: a comprehensive review;Annals of Operations Research;2023-11-05

2. A Survey on Energy-Efficient Routing in Wireless Sensor Networks Using Machine Learning Algorithms;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-04-28

3. Optimal Energy Efficiency Techniques and Security Enhancement in Wireless Sensor Network Using Machine Learning;2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS);2022-12-08

4. An Extensive Analysis of Flying Ad-Hoc Network Applications and Routing Protocols in Agriculture;Artificial Intelligence Applications in Agriculture and Food Quality Improvement;2022-05-27

5. “Sensing the Mind”: An Exploratory Study About Sensors Used in E-Health and M-Health Applications for Diagnosis of Mental Health Condition;Internet of Things;2021

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