Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things
In order to reduce the total energy consumption of industrial internet of things systems with deadline requirements, a computing offloading scheme based on Sarsa algorithm was proposed.Based on the characteristics of Sarsa algorithm, the energy consumption optimization problem was coupled.The Sarsa...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2022-09-01
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| Series: | 物联网学报 |
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| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00280/ |
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| author | Jun SUN Shangweikang ZHAO |
| author_facet | Jun SUN Shangweikang ZHAO |
| author_sort | Jun SUN |
| collection | DOAJ |
| description | In order to reduce the total energy consumption of industrial internet of things systems with deadline requirements, a computing offloading scheme based on Sarsa algorithm was proposed.Based on the characteristics of Sarsa algorithm, the energy consumption optimization problem was coupled.The Sarsa algorithm iterated the external state value function, selected the appropriate edge computing server to offload the computing task, and then the particle swarm optimization algorithm solved the resource allocation problem.Finally, the environmental information was updated for the next round of algorithm iteration until the algorithm met the end conditions.The simulation results show that this scheme has faster convergence speed and effectively reduces the system energy consumption. |
| format | Article |
| id | doaj-art-624459763cc64119a0163612806322d1 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2022-09-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-624459763cc64119a0163612806322d12025-01-15T02:53:47ZzhoChina InfoCom Media Group物联网学报2096-37502022-09-016829059650993Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of thingsJun SUNShangweikang ZHAOIn order to reduce the total energy consumption of industrial internet of things systems with deadline requirements, a computing offloading scheme based on Sarsa algorithm was proposed.Based on the characteristics of Sarsa algorithm, the energy consumption optimization problem was coupled.The Sarsa algorithm iterated the external state value function, selected the appropriate edge computing server to offload the computing task, and then the particle swarm optimization algorithm solved the resource allocation problem.Finally, the environmental information was updated for the next round of algorithm iteration until the algorithm met the end conditions.The simulation results show that this scheme has faster convergence speed and effectively reduces the system energy consumption.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00280/industrial Internet of thingsedge computingSarsaenergy-saving computation offloadingresource allocation |
| spellingShingle | Jun SUN Shangweikang ZHAO Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things 物联网学报 industrial Internet of things edge computing Sarsa energy-saving computation offloading resource allocation |
| title | Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things |
| title_full | Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things |
| title_fullStr | Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things |
| title_full_unstemmed | Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things |
| title_short | Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things |
| title_sort | energy saving computation offloading scheme based on sarsa algorithm in industrial internet of things |
| topic | industrial Internet of things edge computing Sarsa energy-saving computation offloading resource allocation |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00280/ |
| work_keys_str_mv | AT junsun energysavingcomputationoffloadingschemebasedonsarsaalgorithminindustrialinternetofthings AT shangweikangzhao energysavingcomputationoffloadingschemebasedonsarsaalgorithminindustrialinternetofthings |