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- W4247278465 abstract "A WSN is split into various clustering nodes in order to obtain proper arrangement and network stability and thus drags the system's lifetime. Each detector node transmits the necessary data to cluster head of each cluster in each cluster-based WSN. Cluster head is liable for collecting the data gathered and forwarding it to sink of network deployed. This manuscript suggests an enhanced Fuzzy-based CH selection algorithm that observes the leftover energy, node compactness and sink distance as input to the Fuzzy inference system. For each node, the eligibility index is calculated to select the head of the cluster. By taking in account the probability assigned to , this algorithm chooses the best candidate for place of the cluster advisor. To each sensor node and helps to increase the energy efficient of network." @default.
- W4247278465 created "2022-05-12" @default.
- W4247278465 date "2019-08-30" @default.
- W4247278465 modified "2023-09-26" @default.
- W4247278465 title "A Fuzzy Based Techniques For Energy Efficient Cluster Head Selection For Wireless Sensor Network" @default.
- W4247278465 doi "https://doi.org/10.35940/ijeat.f8560.088619" @default.
- W4247278465 hasPublicationYear "2019" @default.
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