Improving WSN operational lifetime using fuzzy logic and correlation characteristics

Segregating wireless sensor network into clusters to distribute various tasks uniformly among the sensors is an elegant solution to conserve the energy resources. The identification of cluster heads relies upon various parameters such as energy, distance, proximity to the base station and retransmission rate etc. These parameters present uncertainty in the cluster heads identification process. Therefore, in order to select efficient cluster heads and organize clusters uniformly throughout the network in this paper, firstly cluster heads are identified using fuzzy logic to reduce uncertainty and secondly correlation model is used to distribute clusters uniformly in the network. The correlation between the sensor node and the base station is used in the fuzzy system and the correlation between sensors is used for cluster formation. The performance is evaluated and results are compared with well-known techniques LEACH and CHEF.