Routing Algorithm based on Clustering for Increasing the Lifetime of Sensor Networks by Using Meta-Heuristic Bee Algorithms

Author(s): Mohammad Sedighimanesh*, Hesam Zand Hesami, Ali Sedighimanesh.

Journal Name: International Journal of Sensors, Wireless Communications and Control

Volume 10 , Issue 1 , 2020

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Abstract:

Background: Nowadays, the use of wireless sensor networks is developing rapidly. these networks are applicable in many fields, including military, medical, and environment. these networks use hundreds or thousands of cheap sensor nodes with low power-low and low energy to perform large tasks. These networks have limitations that can lead to inefficiency or not cost - effective. Among these limitations, consumption of energy and issues related to the lifetime of the network. One of the solutions that can assist the load balancing between sensor nodes, increased scalability, improving energy consumption and consequently, increasing network lifetime, clustering of sensor nodes and placing a suitable cluster head in all clusters. Choosing the right cluster head, significantly reduces energy consumption in the network and increases network lifetime.

Objective: The purpose of this paper is to increase network lifetime by using the efficient clustering algorithm, which is used in Meta-heuristic bee colony to select the cluster head. Simulation of this paper is performed by MATLB software and the proposed method is compared with LEACH and GACR approaches.

Conclusion: The simulation findings in this study show that the intended study has remarkably increased the length of the network lifetime by LEACH and GACR algorithms. Due to the limitation of energy in the wireless sensor network such solutions and using Meta-heuristic algorithms can give rise a remarkable increasing in network lifetime.

Keywords: Bee algorithm, routing and clustering algorithms, wireless sensor network, LEACH, reliability, lifetime.

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Article Details

VOLUME: 10
ISSUE: 1
Year: 2020
Page: [25 - 36]
Pages: 12
DOI: 10.2174/2210327909666190129154802
Price: $25

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