Modeling Battery State of Charge in Wireless Sensor Networks based on Structured Multi-Layer Perceptron
Keywords:wireless sensor networks, state-of charge, multi-layer perceptron, energy consumption
Energy consumption of Wireless Sensor Networks (WSN) is an important aspect in the design requirement. This is especially true in a situation where WSN is being operated in isolated areas and thus relying on batteries due to unavailability of power infrastructure. Since energy efficiency is the main concern in the deployment of WSN, the sensor node must keep track of the charge that is left in the battery, commonly referred as the State of Charge (SoC). To prevent the discontinuation of the operation of the sensor node from power cut off, it is important to find an analytic model for the battery’s state of charge. In this paper, an optimized structure of Multi-Layer Perceptron (MLP) is utilized to obtain a model of the battery state-of-charge in wireless sensor nodes. Results show the suitability of the method that produces accurate and simple models, capable of being implemented even in low cost and very constrained real motes.