An efficient fuzzy clustering technique in Wireless Sensor Networks

In the future, wide range of application areas will make sensor networks an integral part of our lives. Since sensor nodes are deployed in large number for collecting accurate data from the sensing field which leads to more number of redundant information. Data aggregation becomes an effective method to eliminate redundancy with minimize the number of transmission, and thus save the energy. Data aggregation through clustering will improve the energy conservation of sensor with improved throughput. Important issue in Wireless Sensor Networks (WSNs) is energy consumption of the sensor nodes. We proposed an efficient fuzzy based Clustering technique to minimize the energy consumption in WSNs. Our key contribution is that the proposed model not only ensures the minimal energy consumption but also guarantees to carry out an efficient aggregation without any data loss. Energy level, neighbor concentration and distance from the base station (BS) are consider for the proposed fuzzy based clustering technique.