Explorando Throttling para melhoria da disponibilidade em IoT dirigida à energia

Abstract

The expansion of the Internet of Things (IoT) requires addressing challenges related to energy supply, especially in environments with limited resources. Although batteries and supercapacitors can mitigate fluctuations, their continuous use raises environmental concerns. In this context, energy-driven systems propose an adaptive approach in which devices adjust their behavior according to variations in energy availability, enduring scarcity and leveraging energy abundance. Despite previous advances, there is still a lack of a structured approach that considers the implementation of the throttling mechanism adapted to the energy characteristics of the devices. In light of this, this work proposes the exploration of throttling as a mechanism to increase the availability of energy-driven IoT devices, in addition to defining a set of practical activities for its implementation. The methodology was validated through an experimental study with simulated devices, in which different throttling strategies were evaluated based on service rate and response rate to requested operations. The results showed that even in critical energy scenarios, throttling contributed to preserving the response capacity of the devices, outperforming uncontrolled approaches. It is concluded that the implementation of adaptive throttling, based on observable energy criteria, is a promising strategy to increase the availability of IoT devices in energy-constrained environments while promoting the appropriate use of available energy resources.