Fuzzy Logic Based Energy Efficient Data Aggregation For Wireless Sensor Network (Fleda)

A sensor network is a network with large number of sensors. Each node in the network is defined with some energy parameters. With each communication over the network some amount of energy is consumed. The proposed work is related to improve the network life by using the concept of prioritization along with the mobile base station over circular path in a clustered network in such a way that maximum connectivity will be there. Prioritization will be done to each communicating node and is performed under parametric factors such as residual energy, distance and connectivity. The first prioritization will be based on residual energy. High energy is considered as one parameter in cluster head selection. In the same way, short distance and maximum connectivity will also be assigned higher priority. All the decision regarding prioritization will be taken by using the fuzzy logic approach. As the base station is defined with specific communication range, each time base station update its location the nodes in its sensing range will activate and perform direct communication with it. The activated area is called hot spot area. Simulation results obtained from this work are satisfactory as it has improved network life as well as reduce the energy consumption in the network.