Abstract
Machine-type communication (MTC) is a well-known approach for communication in the long-term evaluation (LTE) networks. However, there is no proper study on handling the network lifetime of MTC devices owing to deficient energy efficient management. This paper intends to propose optimal cluster head selection (CHS). It is vital to select an optimal node for each cluster. We proposed a whale tri-level update (WTL) approach for selecting the CH. As a novelty in the proposed methodology, the selected cluster head checks the energy level for different intervals. Once the energy level is below the threshold, then cluster head is replaced which is handled by blockchain technology. The proposed structure makes a guide for efficient energy utilization in MTC. The performance computation of the proposed work was done in MATLAB and proved better over existing models with respect to computational time and network life time.
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Krishna Jyothi, K., Kalyani, G., Srilakshmi, K., Chaudhari, S., Likhitha, M., Sriya, K. (2024). An Energy-Efficient Mechanism Using Blockchain Technology for Machine-Type Communication in LTE Network. In: Gunjan, V.K., Kumar, A., Zurada, J.M., Singh, S.N. (eds) Computational Intelligence in Machine Learning. ICCIML 2022. Lecture Notes in Electrical Engineering, vol 1106. Springer, Singapore. https://doi.org/10.1007/978-981-99-7954-7_12
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DOI: https://doi.org/10.1007/978-981-99-7954-7_12
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