Clustering Wireless Sensor Networks Using ImDE Algorithm With LEACH Protocol Wireless sensor network is an interconnection of devices termed as sensors which are autonomous. The performance of WSN is related to the assignment of sensors in the region of interest. Optimising the energy consumption in wireless sensor networks (WSN) is a prevailing challenge. Such issues of WSN are addressed using evolutionary approaches. In this work, a modification of Differential Evolution approach termed as Improved Differential Evolution (ImDE) algorithm is introduced. This algorithm is then applied to find the cluster head in the network. Using these cluster heads in Low Energy Adaptive Clustering Hierarchy (LEACH) protocol, the WSN is clustered by optimising the overall energy consumed.

An optimal clustering algorithm based distanceaware routing protocol for wireless sensor networks Wireless Sensors Networks (WSN) consist of low power devices that are deployed at different geographical isolated areas to monitor physical event. Sensors are arranged in clusters. Each cluster assigns a specific and vital node which is known as a cluster head (CH). Each CH collects the useful information from its sensor member to be transmitted to a sink or Base Station (BS). Sensor have implemented with limited batteries (1.5V) that cannot have replaced. To resolve this issue and improve network stability, the proposed scheme adjust the transmission range between CHs and their members. The proposed approach is evaluated via simulation experiments and compared with some references existing algorithms. Our protocol seemed improved performance in terms of extended lifetime and achieved more than 35% improvements in terms of energy consumption