Position based energy-efficient clustering protocol under noisy environment for sensor networks using fuzzy logic technique

Wireless sensor network (WSN) consist of spatially distributed self-sufficient sensors nodes. Energy is the main bottleneck for wireless sensor networks and it has dominating effects on network lifetime. The Clustering is considered one of the powerful approaches for maximizing the life time of a wireless sensor network because of their better scalability and higher energy efficiency than other routing protocols. Data transmission in sensor node needs a cluster head (CH) which act as a coordinator and plays important role in collection of information within the cluster, data fusion processing and transmission of the aggregated data. Due to this importance, many researchers have focused on optimizing the CH selection process. The proposed protocol using Fuzzy Logic Techniques is used for efficient CH selection and discovery of optimum route for data transmission. A fuzzy logic controller is designed for determining Noise, Residual energy and distance for CH selection and position based technique is applied for optimum route selection. The results of proposed approach shows that the protocol improves the performance of a network by selecting best CH and discover optimal route with minimum expanses of resources for forwarding the data packet to base station and increasing network life time.