Abstract: Data transmission from sensor nodes to Base Station (BS) is the major concern in Wireless Sensor Network (WSN) due to large consumption of energy. To overcome this problem, clustering approach is adopted by all the WSN. The approach where on Cluster Head (CH) is selected from a group of clusters members to transmit data of all the cluster members to BS is known as clustering. This study presents a fuzzy algorithm in clustering to select CH using residual energy, distance to base station, centrality as input parameters and gives fuzzy-cost as output in terms of chance as output parameters. Proposed algorithm using fuzzy logic is named as Fuzzy based Energy Efficient Clustering Protocol (FEECP). It uses Mamdani method for fuzzification and Centroid method for de-fuzzification. Experimental comparison of FEECP with existing techniques such as DUCF, LEACH, CHEF, SEPFL indicate that it is more energy efficient as selection of CH in FEECP is based on above said input parameters that mostly effects network efficiency.
Manpreet Kaur and Nitin Mittal, 2017. Fuzzy Based Energy Efficient Clustering Protocol for WSNs. Journal of Engineering and Applied Sciences, 12: 7046-7051.