Battery optimal scheduling based on energy balance in wireless sensor networks

Abstract

In wireless sensor networks, sensors are usually equipped with limited lifetime batteries. To face the short lifetime, some sensor nodes have the option to connect an extra battery, or to use smart battery-packs with multiple cells. In these cases, a major technique to save the energy is to schedule the batteries or battery cells through the properties of the batteries. This study presents a scheduling algorithm to decide which batteries have to work based on the remaining energy. Hence, the energy consumption model of node based on ZigBee protocol was proposed. The parameters, including working current, working voltage, time duration of data sending and receiving, and so on are used to establish energy consumption model of node. Experiment based on JN5148 shows that the energy consumption model is feasible. Using the kinetic battery model and configuring relevant parameters can accurately express battery's energy consumption curve. On the basis of the above work, MATLAB simulation results show that the proposed battery scheduling strategy is superior to best-of-two scheduling.