EE-WCA: Energy Efficient Weighted Clustering Algorithm to Regulate Application’s Quality of Service Requirements

Wireless Sensor Network (WSN) is the future of next-generation’s communication and computational technology. Now WSN is being used to fulfill various application requirements like medical, engineering, industries, agriculture, etc. It is a resource-constrained network. Additionally, mobility in WSN causes serious issues related to QoS (Quality of Service) requirements like energy efficiency. In order to deal with this issue, in this paper, an Energy Efficient Weighted Clustering Algorithm (EE-WCA) has been proposed. The main aim of EE-WCA is to create a clustered network, which minimizes energy consumption and creates efficient regional Cluster Heads (CH). For this, three phases in clustering are defined. First, evaluating QoS requirements (i.e., buffer length, node displacement, battery level, connectivity, and SNR (signal to noise ratio)). Second, minimize the computational overhead of nodes to save energy using the weighted computation-based technique. This technique helps to regulate the application’s QoS requirements for the selection of CH. Finally, to distribute the resource consumption uniformly over the entire region of WSN, the CH updation process has been described. The experimental setup is prepared on the NS-2.35 simulator and the results are measured using 10 different sizes of network. The experimental observations on different performance factors, i.e. energy consumption, E2E(End to End) delay, throughput, packet delivery ratio, and packet drop ratio, confirm the enhanced performance of network with respect to a state-of-art WCA algorithm.