Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks
Shenzhen Institutes of Advanced Technology · Dalian University of Technology · +3 more institutions
Abstract
Mobile edge computing (MEC) brings computation capacity to the edge of mobile networks in close proximity to smart mobile devices (SMDs) and contributes to energy saving compared with local computing, but resulting in increased network load and transmission latency. To investigate the tradeoff between energy consumption and latency, we present an energy-aware offloading scheme, which jointly optimizes communication and computation resource allocation under the limited energy and sensitive latency. In this paper, single and multicell MEC network scenarios are considered at the same time. The residual energy of smart devices' battery is introduced into the definition of the weighting factor of energy consumption…
Citation impact
- FWCI
- 46.54
- Percentile
- 100%
- References
- 38
Authors
8Topics & keywords
- Computer science
- Mobile edge computing
- Energy consumption
- Computation offloading
- Latency (audio)
- Weighting
- Mobile device
- Computation
- Affordable and clean energy