SDN Based Computation Offloading for Industrial Internet of Things

Abstract

As a new type of highly collaborative and shared intelligent network between producers and production environments, Industrial Internet of Things (IIOT) has been taken an important part of the fourth industrial revolution. IIOT generates large amounts of sensory data which need to be processed rapidly. However, the cloud-based data processing method consumes a long time and huge network overhead, which further affects the quality of service. On the other hand, the emerging edge computing also cannot process data efficiently because of limited compute and network resource. In this paper, we propose a four-layer network architecture based on SDN for the industrial internet of things scenario. Through effective transmission and computation coupling, the processing response efficiency is improved. We present a three-level computation offloading method to realize the optimization of network delay and power consumption. Theory and experiments show that the method proposed in this paper can effectively reduce the computation power consumption and response time.