Energy-Efficient Routing in WSN: A Centralized Cluster-Based Approach via Grey Wolf Optimizer

Energy efficiency is one of the main challenges in developing Wireless Sensor Networks (WSNs). Since communication has the largest share in energy consumption, efficient routing is an effective solution to this problem. Hierarchical clustering algorithms are a common approach to routing. This techni...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.170019-170031
Main Authors: Daneshvar, S. M. Mahdi H., Alikhah Ahari Mohajer, Pardis, Mazinani, Sayyed Majid
Format: Article
Language:English
Subjects:
Algorithms
Cluster analysis
Clustering
Clustering algorithms
Communication
Energy consumption
Energy efficiency
Energy management
grey wolf optimizer
Nodes
Protocol (computers)
Protocols
Relays
Residual energy
Routing
Swarm intelligence
Wireless communications
Wireless sensor networks
WSN
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Summary:Energy efficiency is one of the main challenges in developing Wireless Sensor Networks (WSNs). Since communication has the largest share in energy consumption, efficient routing is an effective solution to this problem. Hierarchical clustering algorithms are a common approach to routing. This technique splits nodes into groups in order to avoid long-range communication which is delegated to the cluster head (CH). In this paper, we present a new clustering algorithm that selects CHs using the grey wolf optimizer (GWO). GWO is a recent swarm intelligence algorithm based on the behavior of grey wolves that shows impressive characteristics and competitive results. To select CHs, the solutions are rated based on the predicted energy consumption and current residual energy of each node. In order to improve energy efficiency, the proposed protocol uses the same clustering in multiple consecutive rounds. This allows the protocol to save the energy that would be required to reform the clustering. We also present a new dual-hop routing algorithm for CHs that are far from the base station and prove that the presented method ensures minimum and most balanced energy consumption while remaining nodes use single-hop communication. The performance of the protocol is evaluated in several different scenarios and it is shown that the proposed protocol improves network lifetime in comparison to a number of recent similar protocols.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2955993