Energy Efficient Wireless Sensor Network using Fuzzy Logic

Wireless sensor network are spatially autonomous sensor that are deployed which is used to monitor either physical or environmental condition like temperature, humidity, pressure and many more. These are the group of transducers that have a communications infrastructure which is used for monitoring and recording the conditions. A sensor network consists of multiple detection stations which can be defined as sensor nodes, each one of containing the feature like as small, lightweight and portable. The important disadvantage of these sensor nodes is the energy constraints. As the replacement of battery in hostile condition sometimes become impossible. To solve this issue various algorithms is approached like LEACH, SEP, HEED. Selection of cluster head is one of the concepts of clustering approach which can reduce the problem of energy constraints upto some extend. In this paper we are going to use fuzzy logic concept which take parameter like residual energy, overhead and distance between the nodes from the base station for the choice of cluster head so that it further send the data to base station and the concept of data aggregation which is going to used to avoid the redundant data problem. Mamdani's rule is going to used for the proper selection of cluster head. The results have been obtained from MATLAB and shows that the result that is obtained in terms of network lifetime, network throughput, alive nodes by proposed algorithm is much better than the LEACH protocol.