Optimized Low-Energy Adaptive Clustering Hierarchy in Wireless Sensor Network

Abstract

Energy which drives the whole world is also required for the propitious technology called wireless sensor network (WSN), which is the driving force of many helpful applications in many areas like health, environment, and industry monitoring, mainly for detecting the threats. The ease of portability, availability, accuracy, and advancement in wireless communication has made it popular among the masses. Sensing nodes are set up in a geographical area of interest, and then, these nodes sense the environmental physical phenomenon and accumulate the information and transfer it to the sink (base station) for application specific action. One of the major concerns with WSN is the network lifetime because of the battery-powered sensing devices. It is one of the most challenging problems which is related with all the issues present in the WSN. The recharge of the sensing devices and prolonging the network lifetime can be achieved through energy harvesting techniques. The primary goal is to enhance the lifetime of the battery-powered sensors and prolong the network lifetime. Numerous of routing protocols have been proposed by the researchers like many versions of LEACH protocols, RPL, 6LowPAN, etc. Here, we propose optimized form of LEACH routing protocol which improves the lifetime of the network, and the simulation results show that the proposed work has improved the network lifetime and stability of the protocol compared with the other existing techniques.