Node Clustering and Cluster Head Selection in Multi-Channel Wireless Sensor Networks


  • Siddhartha Adhyapok, Bhaskar Bhuyan, Anand Sarma, Hiren Kumar Deva Sarma


Wireless Sensor Networks, Multi-channel Wireless Sensor Networks, Analytical Hierarchy Process, Clustering, Mobility.


Hierarchical approach for overall management of a multi-channel wireless sensor network seems to be more practical in terms of stability, scalability and also reliability. Clustering of nodes in such a hierarchical network plays an important role. Moreover, appropriate selection of cluster head nodes can not only improve the network performance but it can result in prolonged lifetime of the network too. In this paper, a node clustering algorithm for multi-channel wireless sensor network is proposed along with a methodology for selection of the respective cluster head nodes. The node clustering algorithm may be executed at sink and nodes are clustered considering two different parameters namely geographic proximity and availability of common channels. The nodes inside a cluster are expected to be geographically close to each other and also they are desired to have access to maximum number of common communication channels. Access to common communication channels shall reduce the overhead due to channel switching. Again at the time of selection of the cluster head nodes, the principles of Analytic Hierarchy Process (AHP) are exploited and as per AHP principles, the most suitable node is selected as the cluster head for a cluster of nodes. The performance of the proposed protocol has been evaluated and compared with few benchmark techniques available in literature. The proposed approach outperforms other protocols in terms of energy efficiency, throughput, end-to-end delay, communication overhead, network lifetime,  and re-clustering time. The future scopes of the work are outlined.  


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How to Cite

Anand Sarma, Hiren Kumar Deva Sarma, S. A. B. B. . (2024). Node Clustering and Cluster Head Selection in Multi-Channel Wireless Sensor Networks. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 1486–1497. Retrieved from



Research Article