Learning-based context-aware resource allocation for edge-computing-empowered industrial IoT
H Liao, Z Zhou, X Zhao, L Zhang… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
Edge computing provides a promising paradigm to support the implementation of Industrial
Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited
machine-type devices (MTDs) to powerful edge servers. However, the performance gain of
edge computing may be severely compromised due to limited spectrum resources, capacity-
constrained batteries, and context unawareness. In this article, we consider the optimization
of channel selection that is critical for efficient and reliable task delivery. We aim at …
Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited
machine-type devices (MTDs) to powerful edge servers. However, the performance gain of
edge computing may be severely compromised due to limited spectrum resources, capacity-
constrained batteries, and context unawareness. In this article, we consider the optimization
of channel selection that is critical for efficient and reliable task delivery. We aim at …
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