Chinese Journal on Internet of Things ›› 2022, Vol. 6 ›› Issue (3): 82-90.doi: 10.11959/j.issn.2096-3750.2022.00280

• Theory and Technology • Previous Articles     Next Articles

Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things

Jun SUN, Shangweikang ZHAO   

  1. Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Revised:2022-06-15 Online:2022-08-05 Published:2022-08-08
  • Supported by:
    The National Natural Science Foundation of China(61771255);The Open Project of Provincial and Ministerial Key Laboratories(20190904)


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.

Key words: industrial internet of things, edge computing, Sarsa, energy-saving computation offloading, resource allocation

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