LEACH Hierarchical Protocol Based on ACO and BCO

Wireless Sensor Networks (WSNs) consists of little nodes with sensing, calculation and wireless transportation capabilities. Numerous routing protocols have been particularly designed for WSNs where the throughput and energy consumption are the vital invent issues. LEACH protocol is one of the clustering routing protocols in wireless sensor networks that are able to deal out energy indulgence evenly all over the sensors. There are two stages of the protocol i.e. setup phase and steady phase. In this work, Matlab 7.0 version has been utilized for the simulation job. We first outline the design challenges for routing protocols in WSNs such as performance on the basis of throughput and energy consumption. Then the objective of the research work to build up the enhanced network algorithms those are for improvement in performance in large-scale systems. Design a code of behavior that can equally and proficiently distribute the energy consumption across all nodes. Then implement the Ant Colony Optimization algorithm and Bee Colony Algorithm in combination with Neural Network. The goal is to provide a new design method for optimizing energy consumption. Finally, we review the performance of ACO-Neural network and BCO-Neural network strategies based on performance metrics with a focus on realistic applications.