Mobility-Aware Computation Offloading for Swarm Robotics using Deep Reinforcement Learning
| Autor: | Hongzhi Guo, Xiucheng Wang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Mobile edge computing
Computer science Distributed computing 05 social sciences Swarm robotics 050801 communication & media studies Scheduling (computing) 0508 media and communications Server 0502 economics and business Robot Computation offloading Reinforcement learning 050211 marketing Edge computing |
| Zdroj: | CCNC |
| DOI: | 10.1109/ccnc49032.2021.9369456 |
| Popis: | Swarm robotics is envisioned to automate a large number of dirty, dangerous, and dull tasks. Robots have limited energy, computation capability, and communication resources. Therefore, current swarm robotics have a small number of robots, which can only provide limited spatio-temporal information. In this paper, we propose to leverage the mobile edge computing to alleviate the computation burden. We develop an effective solution based on a mobility-aware deep reinforcement learning model at the edge server side for computing scheduling and resource. Our results show that the proposed approach can meet delay requirements and guarantee computation precision by using minimum robot energy. |
| Databáze: | OpenAIRE |
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