Energy Efficiency Optimization Based on Computing Offloading for Internet of Things in Power Systems

doi:10.11930/j.issn.1004-9649.202010054

Electric Power ›› 2021, Vol. 54 ›› Issue (5): 28-34,45.DOI: 10.11930/j.issn.1004-9649.202010054

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Energy Efficiency Optimization Based on Computing Offloading for Internet of Things in Power Systems

LIU Shidong^1,2, BU Xiande^1,2, YU Qiang^1,2, TIAN Feng³

1. State Grid Laboratory of Electric Power Communication Network, Global Energy Interconnection Research Institute, Nanjing 210003, China;
2. State Grid Laboratory of Electric Power Communication Network, Nanjing 210003, China;
3. Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Received:2020-10-19 Revised:2021-02-23 Published:2021-05-05
Supported by:
This work is supported by the Science and Technology Projects of State Grid Corporation of China (Development and Application of Low-Delay Safe and Reliable Intelligent IoT Agent Device, No.SGZJDK00DYJS2000030)

Abstract

Abstract: Based on the heterogeneous network architecture, in this paper by taking into account the mobile edge computing (MEC) architecture of Internet of things in power systems using three-tier computing, the energy consumption model and delay model are established respectively for each tier. Then the related tasks are offloaded from local computation in smart mobile device (SMD) to the MEC servers of small base station (SBS) and macro base station (MBS). To minimize the energy consumption due to the computing offloading, through variable substitution and decomposition, then by taking advantage of theoretical derivation based on the objective function monotonicity, the optimal solution is finally obtained. Simulation results show that, in comparison with other methods, the proposed scheme can achieve the effects of energy saving with less time delay.

Key words: Internet of Things in power system, heterogeneous network, mobile edge computing, computing offloading, energy-efficient optimization

LIU Shidong, BU Xiande, YU Qiang, TIAN Feng. Energy Efficiency Optimization Based on Computing Offloading for Internet of Things in Power Systems[J]. Electric Power, 2021, 54(5): 28-34,45.

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Energy Efficiency Optimization Based on Computing Offloading for Internet of Things in Power Systems

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