Abstract
There is an increasing demand for motion control of Internet of Things devices such as drones and industrial machines from large computational resources on the network side. Since the delay between communication devices adversely affects the control performance, utilization of low-latency platforms such as edge computing is promising. However, no other study focuses on architecture and control methods in optical access network for motion control. We aim at realizing the access edge that performs real-time motion control on an edge server located in a central office. This paper proposes an access edge configuration and a control method that offers time-varying delay compensation based on delay information. We evaluate control performance of our method when delay is increased and packet loss occurs under a high network load environment. We demonstrate that when the downstream traffic changes from 9 to 10 Gbps, the proposed method offers motor control settling times of 2.7 s and 8.0 s, respectively, while the conventional method cannot control the motor in either case.
Highlights
Internet of Things (IoT) devices, such as drones and industrial machines, are generally controlled from local computational resources
We previously proposed the concept of the access edge, which integrates edge computing into the optical access system for real-time motion control [20]
We previously proposed the concept of the access edge that performs real-time motion control on an edge server located in a central office
Summary
Internet of Things (IoT) devices, such as drones and industrial machines, are generally controlled from local computational resources. With this method, the controller of the industrial machine is local, so it can control the target with low latency, and, in conjunction with the cloud, it is possible to achieve high load processing, such as anomaly detection and fault prediction. We conduct an experiment when delay is increased and packet loss occurs under high network loads, and demonstrate that our method can control the motor accurately even if the conventional method cannot control it To this extent, the main contributions of this paper are as follows: 1) Proposes a novel configuration for access edge systems that extends the virtualization platform; a new data model is defined to link delay to motion control applications.
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