Efficient and Dynamic Cluster Head Selection for Improving Network Lifetime in WSN using Whale Optimization Algorithm

Wireless sensor networks (WSN) are ad-hoc networks with nodes distributed over large areas which forward data to sink nodes. Nodes in the WSN get depleted of their energy during transmissions. Energy holes are formed in the network due to multiple transmissions disrupting further data transfer in th...

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Bibliographic Details
Published in:Wireless personal communications 2022-03, Vol.123 (2), p.1467-1481
Main Authors: Priyanka, B. N., Jayaparvathy, R., DivyaBharathi, D.
Format: Article
Language:English
Subjects:
Ad hoc networks
Algorithms
Clusters
Communications Engineering
Computer Communication Networks
Data transfer (computers)
Depletion
Energy
Engineering
Networks
Nodes
Optimization
Optimization algorithms
Performance evaluation
Residual energy
Signal,Image and Speech Processing
Topology
Wireless networks
Wireless sensor networks
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Summary:Wireless sensor networks (WSN) are ad-hoc networks with nodes distributed over large areas which forward data to sink nodes. Nodes in the WSN get depleted of their energy during transmissions. Energy holes are formed in the network due to multiple transmissions disrupting further data transfer in the network. Existing work in literature address the issues of improving the energy efficiency and hence network lifetime by topology control, optimal cluster-head selection and scheduling to reduce collisions. We consider a circular WSN with multiple levels in which the nodes are distributed randomly with node density higher towards the sink. The vast circular area is divided into a number of sectors. Dynamic cluster head selection in each sub-sector is implemented using the Whale Optimization Algorithm. We evaluate the performance of the proposed approach in terms of the residual energy and network lifetime. We analyse the proposed model and prove that a nominally balanced energy depletion is achievable in the circular WSN with sectorization. The performance of the proposed approach is compared with the PSO and LEACH protocol implementations. It is observed from the results obtained that with the proposed approach the residual energy ratio is reduced by 50% and 39% for an initial energy of 50 Joules compared to PSO and LEACH protocols. As the initial energy increases there is improvement in percentage reduction in residual energy ratio thereby improving the lifetime of the network.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-021-09192-7