The wireless sensor networks (WSNs) form an integral part of the Internet of Things (IoT). The prospective use of WSNs in various applications has grown interested in WSNs. Since it is almost not possible to replace or recharge the nodes battery when they are deployed. Hence, energy consumption should be carefully monitored. Minimizing the consumption of the energy of the sensor nodes leads to the prolongation of network lifetime. This paper proposes a clustering protocol based on fuzzy logic which not only prolongs the network life span but also balances the load among nodes. The proposed protocol is evaluated with many protocols. The output obtained proved that the proposed protocol outperforms over existing standard protocols.
CITATION STYLE
Agrawal, D., & Pandey, S. (2020). Load Balanced Fuzzy-Based Clustering for WSNs. In Advances in Intelligent Systems and Computing (Vol. 1059, pp. 583–592). Springer. https://doi.org/10.1007/978-981-15-0324-5_49
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