Energy Harvesting Assisted Intelligent Computation Offloading Method for the IoT in Mining

MIN Minghui; ZHANG Peng; ZHU Haopeng; CHENG Zhipeng; MA Shuai; LI Shiyin; XIAO Liang; PENG Guojun

doi:10.11999/JEIT220973

Volume 45 Issue 10

Oct. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(10): 3547-3557

MIN Minghui, ZHANG Peng, ZHU Haopeng, CHENG Zhipeng, MA Shuai, LI Shiyin, XIAO Liang, PENG Guojun. Energy Harvesting Assisted Intelligent Computation Offloading Method for the IoT in Mining[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3547-3557. doi: 10.11999/JEIT220973

Citation:

MIN Minghui, ZHANG Peng, ZHU Haopeng, CHENG Zhipeng, MA Shuai, LI Shiyin, XIAO Liang, PENG Guojun. Energy Harvesting Assisted Intelligent Computation Offloading Method for the IoT in Mining[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3547-3557. doi: 10.11999/JEIT220973

Citation:

MIN Minghui, ZHANG Peng, ZHU Haopeng, CHENG Zhipeng, MA Shuai, LI Shiyin, XIAO Liang, PENG Guojun. Energy Harvesting Assisted Intelligent Computation Offloading Method for the IoT in Mining[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3547-3557. doi: 10.11999/JEIT220973

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Energy Harvesting Assisted Intelligent Computation Offloading Method for the IoT in Mining

doi: 10.11999/JEIT220973

1.
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
2.
Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, Wuhan University, Wuhan 430072, China
3.
School of Informatics, Xiamen University, Xiamen 361005, China

Funds: The National Natural Science Foundation of China(62101557, 61971366), China Postdoctoral Science Foundation (2022M713378), Fundamental Research Fundations for the Central Universities (2042022kf0021)

Received Date: 2022-07-21
Rev Recd Date: 2023-03-31

Available Online: 2023-04-04

Publish Date: 2023-10-31

Abstract

Abstract

This paper proposes an Energy Harvesting (EH)-assisted mining IoT intelligent computation offloading method for the mine IoT device with limited computing, energy, and memory resources and smart mining scenario with a large number of latency-sensitive computation tasks. Mobile Edge Computing (MEC) technology is used to assist task computing of mine IoT devices, and EH technology is investigated to power energy-constrained mine IoT devices. The intelligent computation offloading mechanism based on Q-learning can dynamically explore and optimize computation offloading policy under the condition of an unknown precise mine system model. In addition, a computation offloading mechanism based on Deep Deterministic Policy Gradient (DDPG) is proposed. The curse of dimensionality in complex mining scenarios is resolved, the discretization error caused by policy discretization is reduced, and the computation offloading performance is further improved. Theoretical analysis and simulation results verify that the proposed mechanism can reduce energy consumption, computing delays, and task failure rate. This helps ensure safety and improve the production efficiency of IoT in mining.
- IoT in mining,
- Mobile edge computing,
- Energy harvesting,
- Q-learning,
- Deep Deterministic Policy Gradient (DDPG)

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References(24)

References

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