Timer Based Optimized Clustering for Lifetime Enhancement in WSN
International journal of intelligent engineering and systems · 2021
The energy of a wireless sensor network is crucial.Energy optimization is one of the key areas where research is being conducted.The upgraded technology in wireless sensor network (WSN) protocols has been seen tending towards clustering of nodes for energy optimization.Sensor nodes are battery-operated, so the size of the WSN matters mainly in terms of energy and the lifespan of the network.This work proposes a new approach of clustering process for energy efficiency in WSN thereby increasing the network lifetime.The initial clustering uses K-medoid, and setup phase using timer-based execution of adaptive neuro-fuzzy inference system (ANFIS).The ANFIS neuron structure is optimized using the firefly algorithm.The timer-based call of ANFIS for re clustering process is the novel approach and shows optimum efficiency in energy consumption.The optimum choice of cluster head (CH) selection leads to uniform energy consumption amongst all the sensor nodes and avoids energy run out problem when CH charge is given to particular node the performance evaluation shows improvement in energy efficiency and lifetime of the network.This work shows that the lifetime of the network is enhanced by 4% as compared to existing methods.