An Request Offloading and Scheduling Approach Base on Particle Swarm Optimization Algorithm in IoT-Fog Networks

Abstract

In Industrial Internet of Things environment, the requests from the terminal devices are usually processed by the fog servers. However, due to the limited hardware resources and software resources, the fog server may be in a high load state in some time. In this case, some real-time requests may not be processed in time, which will affect the performance of the network. Hence, we propose a request offloading and scheduling approach to improve the performance of the net in processing the requests. Considering the influence of the distance between the devices on wireless communication, and the different deadlines of requests, we sort the terminal devices, and add the deadline of the request and the communication distance between the devices into the offloading and scheduling algorithm. These methods not only consider the real-time nature of requests, but also minimizes the average processing delay of requests. Finally, the simulation results prove that the proposed method is verified with efficacy.