An Energy-Efficient Approach to Scheduling in Wireless Sensor Networks

It is very important to reduce the energy consumption in wireless sensor networks, where the nodes operate on batteries. With consideration of both the transmission energy and the circuit energy consumption, we study the problem of energy efficiency in time-division-multiple-access (TDMA) link scheduling, and derive the optimal scheduling protocol to minimize the energy utilization for wireless sensor network. In order to reduce the computational complexity, we develop a suboptimal fractional-inverse-log scheduling (FILS) protocol for real implementation, which is shown to reduce a significant amount of energy consumption compared to previously designed protocols. Finally, we also developed the simplified distributed fractional-inverse-log scheduling to remove the communication overhead in centralized scheduling protocols, and simulation results show that it is very efficient in energy saving especially for a large-scale wireless sensor network