Abstract
In recent years, clustering of sensor nodes in WSN is an effective approach for designing routing algorithms, which enhances energy efficiency and network lifetime. While clustering of sensor nodes, key nodes and cluster head (CH) need to perform multiple task, so that it requires more energy. To overcome this issue, in this proposed methodology, optimal CH is adopted based on the residual energy, node density, and the location of the node. Before that, clustering of sensor nodes in the network is achieved through proposed integration of enhanced artificial bee colony with particle swarm optimization (IoEABC-PSO) clustering algorithm to enhance performance efficiency of proposed methodology. In addition, to overcome the clustering problem, the proposed IoEABC-PSO algorithm uses honey source updating principles in ABC approach while electing the CH. In the meanwhile, CH gathers all the information from member nodes for better communication. After the completion of CH election, the routing is performed to transmit gathered information between elected CH and base station by using ant colony optimization with Dijkstra algorithm to obtain better performance result. Finally, the polling control mechanism is presented to provide low energy consumption and high network lifetime. Practical implication of the findings and future investigation are discussed.
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Vasim Babu, M., Vinoth Kumar, C.N.S., Baranidharan, B., Madhusudhan Reddy, M., Ramasamy, R. (2022). Energy-Efficient ACO-DA Routing Protocol Based on IoEABC-PSO Clustering in WSN. In: Saraswat, M., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Congress on Intelligent Systems. Lecture Notes on Data Engineering and Communications Technologies, vol 114. Springer, Singapore. https://doi.org/10.1007/978-981-16-9416-5_11
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