Energy-Proficient Adaptive Queuing Model-Based Clustering Scheme for Improving Network Lifetime in Wireless Sensor Networks

Energy preservation in wireless sensor network (WSN) is vital for prolonging the network lifetime as sensors have stringent energy constraints. Reducing energy consumption is an uphill task, and process of clustering increases network lifetime to an expected level. In this context, efficient selection of Cluster Heads (CHs) facilitates effective data distribution. In this paper, Adaptive Queuing Model-based Clustering Scheme (AQMCS) is proposed for supporting maximized energy in the network with high-energy reduction in clusters through dynamic selection that mainly explores the energy incurred during the process of data packet transmission. It specifically determines the time at which packets would arrive for the objective of minimizing transmission delay. Moreover, the proposed AQMCS approach outperforms the benchmarked mechanisms by offering 19.32% improved Packet Delivery Ratio (PDR), 17.84% enhanced throughput, 16.54% minimized delay, 15.98% reduced total energy consumption, and 17.62% minimized Packet Loss Ratio (PLR) for varying number of nodes in the network.