A Fuzzy Based Techniques For Energy Efficient Cluster Head Selection For Wireless Sensor Network
Abhishek Rai1, Kanika Sharma2

1Abhishek Rai*, Electronics and Communication Engineering, National Institute of Technical Teachers’ Training and Research , Chandigarh, India.
2Dr. Kanika Sharma, Electronics and Communication Engineering, NITTTR, Chandigarh, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 2495-2499 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8560088619/2019©BEIESP | DOI: 10.35940/ijeat.F8560.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.
Keywords: Clusterihead, Fuzzy, Energyi Efficiency, WSN.