Fuzzy Based Cluster Routing in Wireless Sensor Network

Author:

Naderloo AliReza1,Aghda Seyed Ali Fatemi1,Mirfakhraei Mahdi2ORCID

Affiliation:

1. Iran University of Medical Sciences

2. Shahid Sadoughi University of Medical Sciences and Health Services

Abstract

Abstract Wireless sensor networks (WSNs) built for multiple purposes consist of a number of sensor nodes and base station (BS). In designing these networks, hierarchical cluster routing protocol is used as a common solution for the challenge of energy consumption and longer network lifetime. The strategy of proposed method (FBCR) is basead on zoning and a fuzzy-based cluster routing protocol. In this method, some of the nodes are selected as cluster heads (CHs) that are responsible for sending data to the BS. For fuzzy input in CH selection, the criteria were used, including “residual energy of the node”, “node distance to the center of each region”, and “node angle to the BS”. Fuzzy logic was used as an algorithm for modeling decision-making and human experiences, to maintain energy balance and better CH selection. In FBCR, with the aim of reducing network energy consumption, the responsibility of selecting CHs in each region, determining the region of nodes, calculating distance from each node to the center, and calculating angle of nodes were assigned to the BS. FBCR is improved in terms of network lifetime, stability Period, selection and number of CHs, and the mean residual energy compared to Farahzadi, LEACH and MSCR methods.

Publisher

Research Square Platform LLC

Reference16 articles.

1. Particle swarm optimization-based unequal and fault tolerant clustering protocol for wireless sensor networks;Kaur T;IEEE Sens J,2018

2. Enhancement of network lifetime using fuzzy clustering and multidirectional routing for wireless sensor networks;Kiran W;Soft Comput,2020

3. Renewable energy harvesting schemes in wireless sensor networks: a survey;Sah DK;Inform Fusion,2020

4. Arulmurugan A, Waris SF, Bhagyalakshmi N (2021) Analysis of Cluster Head Selection Methods In WSN. in 6th International Conference on Inventive Computation Technologies (ICICT). 2021. IEEE

5. A fuzzy logic based clustering algorithm for WSN to extend the network lifetime;Sood P;J Global Res Comput Sci,2018

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