Quality of Performance Aware Data Transmission for Energy-Efficient Networked Control

Abstract

The energy consumption of network interfaces in networked control systems (NCSs) must be reduced for sustainability. The sleep mechanisms of energy-efficient network interfaces for networked motor control systems, in which controller and motor devices are connected by communication networks, have attracted much interest in recent years. They reduce the energy consumption of network interfaces by making the transmitters installed on the controller and motor devices enter a sleep period when no data are to be transmitted. In a conventional send-on-delta (SoD)-based sleep control method, the network interfaces decide when to enter the sleep period based on the variations of the control input and response values. Although this method effectively reduces the communication rate for reducing energy consumption, it does not explicitly consider the quality of performance (QoP) or control performance such as tracking errors. In high-precision motion control systems, ensuring a certain QoP level is crucial. This study proposes a QoPaware sleep control method for energy-efficient networked motor control systems to maintain the QoP at a certain level while operating the sleep mechanism. Here, the QoP is defined as the tracking error between the command and the response values. In the proposed method, network interfaces decide when to enter the sleep period based on the tracking error. Experimental results confirm that the QoP-aware sleep control method outperforms the SoD-based sleep control method in terms of the tracking errors (i.e., integral square error and steady-state error) at the expense of increased communication rates.INDEX TERMS Data transmission, energy-efficient network, motion control, networked control system, remote control, quality of performance.

Distributed System Optimization Analysis Based on Data Fusion and Data Transmission Method

“…When data stored on a node is lost, data can be read from the replica. Another feature is service redundancy, which means that several nodes provide the same service, and each node has the ability to receive external requests and process them accordingly [13][14].…”

Use of QUIC for Mobile-Oriented Future Internet (Q-MOFI)

“…TCP and UDP are widely used transport layer protocols, while quick UDP internet connections (QUIC), a recent protocol with the potential to enhance internet communication speed and security, has gained significant attention in recent years [10,11]. Furthermore, the transport layer provides essential services to apps, such as port numbers, which differentiate between different host apps and enable simultaneous operation of multiple applications on a single host, preventing data (mis)transmission [12,13]. The transmission control protocol (TCP) is a reliable transport protocol that enables end-to-end data packet delivery between applications.…”

Demonstration of networked motion control using bandwidth-reserved transmission rate control

“…Communication services in the IoT era should be evaluated on the basis of the quality at the application level as well as quality of service (QoS) at the network level, such as throughput and communication delay. Application-level quality is called quality of experience (QoE) in human-related applications and quality of performance (QoP) in IoT-related applications [2], [3]. As the needs of communication users are changing from QoS-based to QoE/QoP-based requirements, application-aware network control will become more important for telecom and private network operators [4].…”