Energy Efficient Clustering In Wireless Sensor Network Using Anfis

Wireless Sensor Networks [WSN] is defined as a group of distributed sensors which performs task like monitoring and sensing the physical environmental conditions and also aggregate the collected data at a central location called Base Station [BS]. WSNs consist of sensors [or nodes] from a few to several hundreds or even thousands, where each node sometimes several) sensors. Each sensor is able to sense and send the sensed data to base station. The ability of sensing and transmitting data to BS requires high energy. Hence, the main challenge of WSN is to achieve communications with low energy consumptions. Therefore, it requires a primary goal of energy efficient clustering protocol and cluster head selection using Adaptive Neuro Inference System [ANFIS]. This model will help in knowing the current scenario of every wir sensor network.