JOURNAL ARTICLE

Fuzzy Based Energy Efficient Multiple Cluster Head Selection Routing Protocol for Wireless Sensor Networks

Sohel RanaAli Newaz BaharNazrul IslamJohirul Islam

Year: 2015 Journal:   International Journal of Computer Network and Information Security Vol: 7 (4)Pages: 54-61

Abstract

The Wireless Sensor Network (WSN) is made up with small batteries powered sensor devices with lim-ited energy resources within it. These sensor nodes are used to monitor physical or environmental conditions and to pass their data through the wireless network to the main location. One of the crucial issues in wireless sensor network is to create a more energy efficient system. Clustering is one kind of mechanism in Wireless Sensor Networks to prolong the network lifetime and to reduce network energy consumption. In this paper, we propose a new routing protocol called Fuzzy Based Energy Effi-cient Multiple Cluster Head Selection Routing Protocol (FEMCHRP) for Wireless Sensor Network. The routing process involves the Clustering of nodes and the selection of Cluster Head (CH) nodes of these clusters which sends all the information to the Cluster Head Leader (CHL). After that, the cluster head leaders send aggregated data to the Base Station (BS). The selection of cluster heads and cluster head leaders is performed by using fuzzy logic and the data transmission process is performed by shortest energy path which is selected applying Dijkstra Algorithm. The simulation results of this research are compared with other protocols BCDCP, CELRP and ECHERP to evaluate the performance of the proposed routing protocol. The evaluation concludes that the proposed routing protocol is better in prolonging network lifetime and balancing energy consumption.

Keywords:
Computer science Computer network Routing protocol Wireless sensor network Wireless Routing Protocol Energy consumption Cluster analysis Key distribution in wireless sensor networks Routing (electronic design automation) Distributed computing Real-time computing Wireless network Wireless Telecommunications Engineering Electrical engineering Artificial intelligence

Metrics

41
Cited By
5.67
FWCI (Field Weighted Citation Impact)
27
Refs
0.97
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Mobile Ad Hoc Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
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