Abstract
A wireless sensor network is an emerging paradigm in the present era of computer communication technology. Sensor nodes are minute, lightweight, and autonomously distributed over the network; these nodes are not rechargeable. So energy consumption of the sensor node is a crucial constraint in the wireless sensor network. Sensor nodes are clustered to reduce the communication overhead. This paper proposes a new fuzzy-based mobile base station clustering technique. This technique uses fuzzy approach for the base station movement to decrease energy consumption of the sensor nodes and increases the lifetime of the network. Proposed work is implemented in the MATLAB software. Comparatively, it reduces the energy consumption of the sensor nodes.
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Sunitha, R., Chandrika, J. (2019). Fuzzy-Based Mobile Base Station Clustering Technique to Improve the Wireless Sensor Network Lifetime. In: Behera, H., Nayak, J., Naik, B., Abraham, A. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-10-8055-5_36
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DOI: https://doi.org/10.1007/978-981-10-8055-5_36
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