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Edge Computing Offloading Strategy Based on Dynamic Non-cooperative Games in D-IoT

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Abstract

With the vigorous development of Internet of Things technology, the current distribution network is developing towards the information-based and intelligent distribution Internet of Things (D-IoT). D-IoT adopts the mode of the cloud computing center and the edge cloud network working together. The edge cloud network has a large number of intelligent terminals, which can well adapt to the current sharply expanding power data scale. In order to further improve the ability of the edge network in D-IoT to process data in real time, and to maximize the quality of user experience (QoE) while minimizing energy consumption when performing computing offload, this paper proposes a dynamic non-cooperative game based edge Computing task offloading strategy, considering the dynamic nature of task generation, designed a distributed iterative optimization algorithm, which decomposes computing offloading into a series of sub-problems to solve. The results of simulation experiments prove that the calculation offloading mechanism proposed in this paper can greatly improve D -Compute efficiency of IoT system.

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Acknowledgements

This article was funded by Project Construction funding for double first-class universities (XM18057)

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  1. School of Control and Computer Engineering, North China Electric Power University, 2 Beinong Road, Huilongguan Town, Changping District, Beijing, China

    Yuancheng Li & Rongyan Yang

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  1. Yuancheng Li
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  2. Rongyan Yang
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Correspondence to Rongyan Yang.

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Li, Y., Yang, R. Edge Computing Offloading Strategy Based on Dynamic Non-cooperative Games in D-IoT. Wireless Pers Commun 122, 109–127 (2022). https://doi.org/10.1007/s11277-021-08891-5

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