A energy efficient TDMA scheduling scheme for large-scale WSAN

Abstract

The energy consumption of sensor nodes, network induced delay and packet dropouts due to congestion are the major concerns in some real time sensor network applications where measurements are reported regularly or periodically to perform control and actuation under a certain time constraint. Here, we address these issues in our TDMA scheduling (Hybrid) approach designed for cluster based large scale Wireless Sensor and Actuator network (WSAN). The proposed hybrid scheme inherently employs simple Breadth-first and Depth-first node visiting techniques over the routes to decide time slots of the nodes with spatial reuse possibilities in deterministic time. The approach suits well for the networks when the entire schedule is recomputed periodically due to maintenance or change in routing to balance the nodes energy. The scheme is analyzed in terms of savings in energy consumption, number of time slots, % slots reuse, throughput and packet dropout due to buffer congestion. Simulation results confirm that the approach is more desirable for the resource limited WSAN networks designed for industrial applications.