A Reputation Incentive Mechanism Based Offloading Strategy for AAV-Assisted Edge Computing Systems

IF 3.7 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-02-10 DOI:10.1109/LCOMM.2025.3540055

Sicheng Liu;Wenxiao Shi;Xue Wang

引用次数: 0

Abstract

With the rapid advancement of autonomous aerial vehicle (AAV) technology, AAVs have brought new possibilities to edge computing (EC), offering enhanced flexibility, mobility, and scalability for computational tasks at the network edge. The issues of data credibility and device selfishness in the offloading process have not been adequately addressed by existing research. Motivated by this, we derive the computation model of AAV-assisted edge computing (UEC) offloading system based on a reputation incentive mechanism and propose an edge computation offloading algorithm for UEC systems that incorporates a reputation incentive mechanism (ECORI). Numerical results indicate that the proposed algorithm significantly improves resource utilization and task completion success rate by suppressing and filtering the reputation values of unreliable devices.

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基于声誉激励机制的aav辅助边缘计算系统卸载策略

随着自主飞行器（AAV）技术的快速发展，AAV为边缘计算（EC）带来了新的可能性，为网络边缘的计算任务提供了增强的灵活性、移动性和可扩展性。现有研究尚未充分解决数据可信度和设备自私自利在卸载过程中的问题。基于此，我们推导了基于声誉激励机制的aav辅助边缘计算（UEC）卸载系统的计算模型，并提出了一种基于声誉激励机制的UEC系统边缘计算卸载算法。数值结果表明，该算法通过抑制和过滤不可靠设备的信誉值，显著提高了资源利用率和任务完成成功率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.