Distributed Energy Harvesting Management Algorithm in Internet of Things Devices

Nowadays, we have seen rapid growth in the field of the internet of things (IoT). The IoT technologies can provide ubiquitous and diverse applications. Because of the requirements of IoT devices are usually lightweight and portable, so most of the energy source in an IoT system is powered from finite battery-operated energy. Thereby, the limited lifespan of the battery is the major limitations on operational network lifetime. The energy harvesting methods can be applied to extend their lifetimes for power. However, due to the renewable energy characteristics of low recharging rates in harvesting ambient energy, energy harvesting is unable to provide sufficient energy for system operation. In this version, this study designs the distributed energy harvesting management strategy which aims to prolong the IoT system lifetime to make the harvesting ambient energy useful. Each device builds a sub-network and carries out the linear programming to management the energy utilization. The proposed algorithm can dynamically control energy consumption in each device to prolong the network lifetime for the battery-based IoT system.