ALARM: An energy aware sleep scheduling algorithm for lifetime maximization in wireless sensor networks

Abstract

Wireless Sensor Networks have emerging recently as a key solution to monitor remote or hostile environments. Such networks are faced for a numerous challenges such as energy efficiency usage, network lifetime maximization, etc. Sensing and communications consume energy, therefore judicious power management can effectively extend network lifetime. In this paper we focus on the problem of energy efficiency and lifetime maximization and we propose an energy aware sleep scheduling algorithm for lifetime maximization in wireless sensor networks (ALARM). ALARM is a strong node scheduling based mechanism for lifetime maximization in wireless sensor networks. Our mechanism use a probabilistic model that permit to cover fault tolerance and a dynamic and distributed sleep timer computation. Simulations and experimental results are presented to verify our approach and the performance of our mechanism. Experimental results show that ALARM allow low control overhead and a better energy management than PEAS with a ratio of 35,40427%