A Dynamic Task Offloading Strategy for Power Distribution IoT based on Energy Consumption

Abstract

Based on edge computing, wireless communication, and other technologies, the power distribution Internet of Things with edge IoT agent as the core, will realize comprehensive perception, data fusion, and intelligent application of power distribution network, and effectively promote the rapid development of the power grid. However, the power usage efficiency (PUE) of the edge IoT agent is the bottleneck in achieving the distribution network's sustainable computing. The edge IoT agent of power distribution Internet of Things network faces the problem of green sustainability. This paper focuses on the computing resource allocation of edge IoT agents in power distribution IoT, designs an energy-efficient green task offloading framework, and proposes an efficient dynamic task offloading strategy. The numerical results show that the task offloading strategy proposed in this paper can ensure the reasonable allocation of power distribution IoT business resources while reducing energy consumption.