Energy Consumption Estimation in Clustered Wireless Sensor Networks Using M/M/1 Queuing Model
Wireless Sensor Network (WSN), consists of a large number of sensor nodes. Each sensor node senses environmental phenomenon and sends the sensed data to a sink node. Since the sensor nodes are powered by limited power batteries. Energy efficiency is a major challenge in WSN applications. In this paper, the authors propose an analytical model for energy consumption estimation in clustered WSNs using M/M/1 queuing model. The model can be used to investigate the network performance in terms of average energy consumption. They also propose a power minimization scheme to reduce energy consumption of sensor nodes by reducing the number of transitions between the idle and active states of sensor nodes according to the number of data packets in the queue.