Research on Edge Computing Task Unloading of a Portable Inspection Terminal for Power Distribution Equipment
Pages 217 - 222
Abstract
The power distribution system is an important energy support system for smart cities. In order to meet the needs of efficient and safe operation and maintenance of the distribution grid, this paper designs a portable sensor toolbox including integrated infrared temperature sensor, partial discharge sensor and gas sensor. Sensors are mainly powered by batteries. To improve maintainability and reduce charging time,this paper minimize sensor energy consumption through joint optimization of task segmentation, equipment CPU frequency and transmission time. The simulation results show that the computing offloading strategy based on the proposed algorithm can effectively reduce the energy consumption compared to all local computing or all offloading computing.
References
[1]
Wang, Xiaojie, Z. Ning, and S. Guo . "Multi-Agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm." IEEE Transactions on Parallel and Distributed Systems 32.2(2020).
[2]
Zhao, Tianchu, "Energy-optimal and delay-bounded computation offloading in mobile edge computing with heterogeneous clouds." China Communications 17.5(2020):191-210.
[3]
Sun, Yingying, "Energy-Efficient Task Offloading Based on Differential Evolution in Edge Computing System With Energy Harvesting." IEEE Access (2021):16383-16391.
[4]
Zhang, Tian, and W. Chen . "Computation Offloading in Energy Harvesting aided Heterogeneous Mobile Edge Computing." IEEE Vehicular Technology Conference IEEE, 2021.
[5]
Zhao, Fengjun, "Dynamic Offloading and Resource Scheduling for Mobile Edge Computing With Energy Harvesting Devices." IEEE Transactions on Network and Service Management PP.99(2021):1-1.
[6]
Zeng, Deze, "An MDP-Based Wireless Energy Harvesting Decision Strategy for Mobile Device in Edge Computing." IEEE Network PP.99(2019):1-7.
[7]
H. Maleki, M. Başaran and L. Durak-Ata, "Handover-Enabled Dynamic Computation Offloading for Vehicular Edge Computing Networks," in IEEE Transactions on Vehicular Technology, vol. 72, no. 7, pp. 9394-9405, 2023.
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S. Akter, D. -Y. Kim and S. Yoon, "Task Offloading in Multi-Access Edge Computing Enabled UAV-Aided Emergency Response Operations," in IEEE Access, vol. 11, pp. 23167-23188, 2023.
Index Terms
- Research on Edge Computing Task Unloading of a Portable Inspection Terminal for Power Distribution Equipment
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Published In
December 2023
266 pages
ISBN:9798400709043
DOI:10.1145/3638985
Copyright © 2023 ACM.
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Published: 11 March 2024
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