Abstract
The convergence of wireless power transfer (WPT) and mobile edge computing (MEC) has fostered the rise of wireless powered MEC, which is taken as a crucial technology for the sustainability of the Industrial Internet of Things (IIoT) systems. This article provides an overview of wireless powered MEC enabled IIoT systems, including use cases, network requirements, system architecture, and resource management. First, we highlight four key requirements to drive operational efficiency from the perspective of being transformed IIoT projects. Then an integration architecture of wireless powered MEC for IIoT is proposed. Designed with joint consideration of energy, communication, and computing resources, the architecture is enabled by an efficient system schedule mechanism to achieve age-aware data update, green and sustainable energy supply, as well as hierarchical and resilient computation. Finally, a case study is provided to verify the feasibility of the proposed architecture and demonstrate the efficiency of the proposed resource management approach.
Highlights
The Industrial Internet of Things (IIoT) consists of a multitude of industrial devices connected by communication technologies that enable advanced data analytics to drive an unprecedented level of efficiency, productivity, and performance [1]–[3]
To support new requirements and unleash the potential of IIoT, new business models are being created with both focuses on mobile edge computing (MEC) [4]–[7] and wireless power transfer (WPT) [8]–[10] technologies
NETWORK REQUIREMENTS AND ARCHITECTURE we describe some potential sectors for wireless powered MEC in IIoT, highlight the network requirements the system has, and propose a fundamental architecture to support its potential realizations
Summary
The Industrial Internet of Things (IIoT) consists of a multitude of industrial devices connected by communication technologies that enable advanced data analytics to drive an unprecedented level of efficiency, productivity, and performance [1]–[3]. Such an assumption makes the optimization more tractable but impractical for IIoT applications that have limited edge computing capacity and certain data freshness requirements, e.g., equipment monitoring and predictive maintenance All these schemes require the full knowledge of up-to-date network states, whereas, in practice, only partial and outdated state information is available due to delay or scalability considerations. The architectures and resource management strategies proposed in these separate networks cannot be readily applied to wireless powered MEC systems in IIoT, where data offloading and energy constraints are highly coupled with each other. An integration architecture for wireless powered MEC in IIoT is proposed, which supports age-aware data update, green and sustainable energy supply, as well as hierarchical and resilient computation. We highlight some future research directions and conclude the article
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
