Task Co-Offloading for D2D-Assisted Mobile Edge Computing in Industrial Internet of Things
Hunan University · Charles Darwin University · +3 more institutions
Abstract
Mobile edge computing (MEC) and device-to-device (D2D) offloading are two promising paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co-offloading, where computing-intensive industrial tasks can be offloaded to MEC servers via cellular links or nearby IIoT devices via D2D links. This co-offloading delivers small computation delay while avoiding network congestion. However, erratic movements, the selfish nature of devices and incomplete offloading information bring inherent challenges. Motivated by these, we propose a co-offloading framework, integrating migration cost and offloading willingness, in D2D-assisted MEC networks. Then, we investigate a learning-based task…
Citation impact
- FWCI
- 39.09
- Percentile
- 100%
- References
- 35
Authors
7Topics & keywords
- Computer science
- Mobile edge computing
- Computation offloading
- Server
- Edge computing
- Computer network
- Enhanced Data Rates for GSM Evolution
- Task (project management)
- Reduced inequalities