Leas: A load-aware energy-efficient adaptive scheduling for heterogeneous wireless sensor networks

Abstract

The growing interest in applications that demand certain end-to-end performance guarantees and the introduction of imaging and video sensors have posed additional challenges. Transmission of data in such cases requires both energy and QoS aware network management in order to ensure efficient usage of the sensor resources and effective access to the gathered measurements. In this paper we present LEAS, a Lightweight Energy-efficient Scheduling Scheme, a novel power management and routing scheme for heterogeneous wireless sensor networks. LEAS is a network adaptive, lightweight, distributed, randomized algorithm where nodes make local decisions on whether to sleep, or to be active. Each node randomly chooses its active schedules. Thus, while reducing energy wasted due to idle listening, LEAS keeps latency low and balances the energy consumption among the sensors according to their residual energy levels. We present analysis and experiments to study energy savings, latency and load balancing with LEAS.