University of Siegen
One of the major sources of energy waste in a Wireless Sensor Network (WSN) is idle listening, i.e., the cost of actively listening for potential packets. This paper focuses on reducing the idle-listening time via a dynamic duty cycling technique which aims at optimizing the sleep interval between consecutive wakeups. The authors considered receiver-initiated MAC method for WSNs, in which the sender waits for a beacon signal from the receiver before starting to transmit. In this paper, they propose an optimization framework for minimizing the energy waste of the most power hungry node of the network. To this aims, they first derive an analytic model that predicts nodes' energy consumption.