Effect of Switching Energy in Different Low Power Modes in Duty Cycling Sensor Network

Abstract

Duty cycling is one of the most efficient power saving mechanisms to prolong sensor network lifetime. In the existing duty cycling networks, low latency and high network connectivity are achieved by shortening the duty cycling parameter that means increasing the frequency of switching between sleep-awake states. However, switching energy is generally not considered in energy efficiency analyses of sensor network. In this paper, the energy cost for switching and different sleeping modes are investigated for sensor network lifetime. To this end, we present a linear programming (LP) formulation which allow to analyze the energy consumption of the sensor network while guarantying the optimum load distribution for maximum lifetime. Proposed mathematical programming model can be applied any synchronized duty cycling mechanism with a fixed duty cycling periods. Analytical results reveal that the switching energy is not negligible effect on network lifetime.