A game theory-based COVID-19 close contact detecting method with edge computing collaboration

Shen, Yue; Liu, Bowen; Xia, Xiaoyu; Qi, Lianyong; Xu, Xiaolong; Dou, Wanchun

doi:10.1016/j.comcom.2023.04.029

Computer Communications

2023

DOI: 10.1016/j.comcom.2023.04.029

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A game theory-based COVID-19 close contact detecting method with edge computing collaboration

Yue Shen

Bowen Liu

Xiaoyu Xia

et al.

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Cited by 2 publications

References 37 publications

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A Survey on UAV-Enabled Edge Computing: Resource Management Perspective

Xia,

Fattah,

Babar

2023

ACM Comput. Surv.

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Edge computing facilitates low-latency services at the network’s edge by distributing computation, communication, and storage resources within the geographic proximity of mobile and Internet-of-Things (IoT) devices. The recent advancement in Unmanned Aerial Vehicles (UAV) technologies has opened new opportunities for edge computing in military operations, disaster response, or remote areas where traditional terrestrial networks are limited or unavailable. In such environments, UAVs can be deployed as aerial edge servers or relays to facilitate edge computing services. This form of computing is also known as UAV-enabled Edge Computing (UEC), which offers several unique benefits such as mobility, line-of-sight, flexibility, computational capability, and cost-efficiency. However, the resources on UAVs, edge servers, and IoT devices are typically very limited in the context of UEC. Efficient resource management is, therefore, a critical research challenge in UEC. In this article, we present a survey on the existing research in UEC from the resource management perspective. We identify a conceptual architecture, different types of collaborations, wireless communication models, research directions, key techniques and performance indicators for resource management in UEC. We also present a taxonomy of resource management in UEC. Finally, we identify and discuss some open research challenges that can stimulate future research directions for resource management in UEC.

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A Survey on UAV-Enabled Edge Computing: Resource Management Perspective

Xia,

Fattah,

Babar

2023

ACM Comput. Surv.

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Game-theoretical perspectives on COVID-19 pandemic

Nagkoulis

2024

Discov Public Health

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A game theory-based COVID-19 close contact detecting method with edge computing collaboration

Cited by 2 publications

References 37 publications

A Survey on UAV-Enabled Edge Computing: Resource Management Perspective

A Survey on UAV-Enabled Edge Computing: Resource Management Perspective

Game-theoretical perspectives on COVID-19 pandemic

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