Distributed Energy-aware and Coverage preserving Unequal Clustering

What is it about?

This paper applied fuzzy logic to wireless sensor networks. In this paper, we propose a distributed clustering algorithm that uses fuzzy logic to establish a trade-off between the energy efficiency and coverage requirement. This algorithm considers both energy and coverage parameters during cluster formation to maximize the coverage preservation of target area. Further, to deal with hot spot problem, it forms unequal sized clusters such that more CHs are available closer to BS to share the high data forwarding load. The performance of the proposed clustering algorithm is compared with some of the well-known existing algorithms under different network scenarios.

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Why is it important?

In recent years, fuzzy logic has been applied to wireless sensor networks for clustering the network. This paper given a very good overview of other papers that has used fuzzy logic to WSNs. Further, the proposed paper demonstrates the drawbacks of existing papers and proposes a new fuzzy based approach to solve the clustering challenges in WSNs.

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