Abstract

Industrial Internet-of-Things (IIoT) with massive data transfers and huge numbers of connected devices, incombination with the high demand for greater quality-of-services, signal processing is no longer producing small data sets but rather, very large ones (measured in gigabytes or terabytes), or even higher. This has posed critical challenges in the context of optimisation. Communication scenarios such as online applications come with the need for real-time optimisation. In such scenarios, often under a dynamic environment, a strict real-time deadline is the most important requirement to be met. To this end, embedded convex optimisation, which can be redesigned and updated within a fast time-scale given sufficient computing power, is a candidate to deal with the challenges in real-time optimisation applications. Real-time optimisation is now becoming a reality in signal processing and wireless networks of IIoT. Research into new technologies to meet future demands is receiving urgent attention on a global scale, especially when 5G networks are expected to be in place in 2020. This work addresses the fundamentals, technologies and practically relevant questions related to the many challenges arising from real-time optimisation communications for industrial IoT.

Highlights

  • Introduction to IndustrialIoT (IIoT)The Internet-of-things (IoT) technology is considered as crucial in many areas of engineering and wireless communication

  • Embedded real-time systems are an important prerequisite for a wide range of applications such as those in smart industry, manufacturing automation, smart city, and wireless communication.A real-time embedded system plays the role of an intelligent part in a well-designed large system, which consists of mechanical component, embedded computational controller, and humanmachine interface

  • We have introduced the practical optimisation related to a diversity applications of the Industrial Internet-of-Things (IIoT) systems based on the development of optimisation platform in realtime scenarios

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Summary

Radio access technologies for IIoT

Given a wide variety of applications in various environments and diverse demands/requirements, it is obvious that no single wireless standard can adequately prevail in an IoT scenario. A difficult task is to exploit good wireless connectivity technology for each of the IoT applications since numerous standards have been deployed via multiple frequency bands and communication protocols [11]. The potential capabilities of the IoT have been significantly enhanced by using various advanced technologies in wireless communication protocols, e.g., RFID, Wi-Fi-Direct, LoWPAN, and 5G. Privacy and security issues have to be considered in IoT applications. The presence of these challenges in the IoT is still open to study and necessarily calls for novel solutions

Cloud computing
Energy efficiency in IIoT
Quality-of-Service for a large number of users
Realtime computing and realtime optimisation
Optimisation problem complexity
Realtime operating system
Realtime Embedded Optimisation for IIoT
Embedded optimisation in PYTHON
Embedded optimisation in R
Embedded optimisation in JULIA
Conclusions and Future works
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