An A3C-based Joint Optimization Offloading and Migration Algorithm for SD-WBANs
| Autor: | Jun Pan, Xiaoming Yuan, Zheyu Zhao, Didi Liu, Yulong Zheng, Yongshuai Zhu |
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| Rok vydání: | 2020 |
| Předmět: |
Service quality
Mobile edge computing Artificial neural network Computer science Quality of service 05 social sciences 050801 communication & media studies 020206 networking & telecommunications 02 engineering and technology Energy consumption 0508 media and communications Asynchronous communication 0202 electrical engineering electronic engineering information engineering Resource allocation Gradient descent Algorithm |
| Zdroj: | GLOBECOM (Workshops) |
| DOI: | 10.1109/gcwkshps50303.2020.9367507 |
| Popis: | The problems of insufficient power consumption and delay sensitivity are challenging issues of Software Defined-Wireless Body Area Networks (SD-WBANs) for smart health monitoring. The migration and offloading problems in mobile edge computing (MEC) system complicate the resource allocation on low delay and energy consumption. In this paper, we propose an Asynchronous Advantage Actor-Critic (A3C)-based joint optimization offloading and migration algorithm to address this issue. Based on Actor-Critic network, the proposed algorithm optimizes the neural network with asynchronous gradient descent to maximize the long-term benefits of SD-WBAN. Moreover, we define the total system cost as the combination of SD-WBAN migration cost, offloading cost and quality of service. Simulation results show that this algorithm can effectively get better long-term benefits of different priority tasks and highly improve the service quality of the users. |
| Databáze: | OpenAIRE |
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