Cluster Head Selection based on Neural Networks in Wireless Sensor Networks
Farah Sanhaji, Hassan Satori, Khalis Satori · 2019
In this paper we describe our experience to implement a proposed algorithm of routing protocol based on Neural Networks (NNs), our approach focus on improving the clustering performances. The energy consumption is an important factor for the Wireless Sensors Networks (WSNs). In our solution based on the Neural Networks tool and the routing protocol LEACH (Low-Energy Adaptive Clustering Hierarchy) we introduce the criterion of the consumed energy for the process of the election of the Cluster-Head (CH). The sensor node with the highest level of the energy is selected to be the Cluster-Head. The results of the simulation show that our proposed solution performs better than classical LEACH.