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.
Graphical Abstract
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