Abstract
Advancements in sensing and communication technologies resulted to the design of wireless sensor network (WSN) for low-cost distributed monitoring systems. Energy dissipation is a major problem in WSN. Clustering and routing are the familiar energy-efficient techniques offering several merits such as energy efficiency, network longevity, scalability, and less latency. Appropriate cluster heads (CHs) and optimal route selection processes can be assumed as the NP hard optimization problem and can be resolved by the use of metaheuristic algorithms. This paper presents a hybrid metaheuristic algorithm-based clustering with multi-hop routing (HMA-CMHR) protocol for WSN. The presented model incorporates different phases such as node initialization, clustering, routing, and data transmission. Firstly, the HMA-CMHR technique uses quantum harmony search algorithm (QHSA) based clustering process to elect an optimal subset of CHs. Secondly, the improved cuckoo search (ICS) algorithm based route technique is employed for an optimal selection of routes. The experimental results of the HMA-CMHR model are validated under different scenarios based on the number of nodes. An extensive experimental analysis is carried out to ensure the betterment of the HMA-CMHR method in terms of different measures. The experimental results showcased the superior performance of the HMA-CMHR technique over the compared methods in terms of distinct aspects.
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Jagadeesh, S., Muthulakshmi, I. (2022). Hybrid Metaheuristic Algorithm-Based Clustering with Multi-Hop Routing Protocol for Wireless Sensor Networks. In: Gupta, D., Polkowski, Z., Khanna, A., Bhattacharyya, S., Castillo, O. (eds) Proceedings of Data Analytics and Management . Lecture Notes on Data Engineering and Communications Technologies, vol 91. Springer, Singapore. https://doi.org/10.1007/978-981-16-6285-0_65
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DOI: https://doi.org/10.1007/978-981-16-6285-0_65
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