Performance Evaluation of the Optimized Weighted Clustering Algorithm in Wireless Sensor Networks
Fatma Belabed, Ridha Bouallègue · 2017
This paper presents a new approach of clustering mechanism in the wireless sensor networks. In our proposed approach the selection of the cluster head is based on multiple criteria by combining varieties of performance metrics. Therefore, the main aim of this paper is to enhance the election of the most performed node in order to be a cluster head. The proposed mechanism is evaluated by Matlab and was based on the average energy consumption, energy efficiency and the number of received packets. The results demonstrate that the proposed mechanism outperforms the existing clustering mechanism.