Research Article
Task Allocation Mechanism of Power Internet of Things Based on Edge Routing Optimization
@INPROCEEDINGS{10.1007/978-3-031-23141-4_9, author={Cheng Zhong and Yi Li and Sujie Shao and Shaoyong Guo and Qianjun Wang}, title={Task Allocation Mechanism of Power Internet of Things Based on Edge Routing Optimization}, proceedings={Game Theory for Networks. 11th International EAI Conference, GameNets 2022, Virtual Event, July 7--8, 2022, Proceedings}, proceedings_a={GAMENETS}, year={2023}, month={1}, keywords={Power Internet of Things Cooperative edge computing Task allocation Route optimization}, doi={10.1007/978-3-031-23141-4_9} }- Cheng Zhong
Yi Li
Sujie Shao
Shaoyong Guo
Qianjun Wang
Year: 2023
Task Allocation Mechanism of Power Internet of Things Based on Edge Routing Optimization
GAMENETS
Springer
DOI: 10.1007/978-3-031-23141-4_9
Abstract
With large number of smart devices accessing the power Internet of Things, cooperative edge computing has become a new computing paradigm for delay sensitive business. However it still faces some challenges today: 1) task allocation in edge networks, 2) route selection during data transmission. This paper proposes a cooperative computing mechanism based on edge routing optimization for power Internet of Things to solve these problems. Firstly, establish a task allocation model based on multi-edge-node cooperation in which the data routing process includes three stage: sending route, merging route and returning route. The model is designed to minimize the average task completion delay. Secondly, Improved Biogeography-based Optimization in Task Allocation and Sending Route Selection (IBBO-TASRS) algorithm is proposed to solve the task allocation and route selection. The simulation results show that the proposed algorithms can reduce the service delay well.
