Abstract
The problem of increasing network lifetime by reducing energy consumption becomes more significant as the topology of the wireless sensor network is not fixed and sensor nodes are located randomly within the networks. This paper focuses on maintaining the network connectivity as long as possible. A clustering method that checks connectivity during topology formation is proposed. A fuzzy inference system is proposed with a specific consideration on the node energy, distance from base station and number of alive neighbours to decide the probability of a node, which has to be appointed a cluster head and also decides the size of cluster it may have.
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Jain, A., Sharma, B. (2020). A Novel Approach for Cluster Head Selection By Applying Fuzzy Logic in Wireless Sensor Networks with Maintaining Connectivity. In: Smys, S., Bestak, R., Rocha, Á. (eds) Inventive Computation Technologies. ICICIT 2019. Lecture Notes in Networks and Systems, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-33846-6_43
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DOI: https://doi.org/10.1007/978-3-030-33846-6_43
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