Abstract
This paper proposes an effective method for experimental modeling of the remaining energy in terms of State of the Charge (SOC) of a battery-powered node in a wireless network. The SOC of a battery is used to accurately determine the remaining energy of the battery. For experimentation, three practical applications (i.e., loads) were allowed to run on the Ni-MH rechargeable battery. The real-time variations in the battery terminal voltage are captured using IC INA219 fuel gauge and an empirical equation is derived from this captured data for each application. These empirical equations are used on a node as a programmable model to experimentally verify the SOC of the application discharge curves. The developed model randomly runs the application for a random duration of time and then computes the SOC of the node. The effectiveness of the randomness in the developed model has been analyzed and found to be practically worth. The proposed work can be scaled up to any number of nodes in a wireless network. This work can benefit the researchers and the academicians working in the area of wireless networks.
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