Availability and Pricing Combined Framework for Rivalry Flying Access Network Providers

Handouf, Sara; Sabir, Essaïd; Hammouti, Hajar El; Sadik, Mohammed

doi:10.1109/glocom.2018.8647951

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…The operators of the UAVs in [68] must determine the best beaconing period (the time it takes to send brief signals announcing the presence of a UAV) while conserving energy. They also determine the optimal pricing approach to optimize their respective market share by encouraging MDs to offload their data to the UAV.…”

Section: -Price Of Uav-mecmentioning

confidence: 99%

A survey on intelligent computation offloading and pricing strategy in UAV-Enabled MEC network: Challenges and research directions

Baktayan¹,

Al-Baltah²

2022

Sustainable Engineering and Innovation

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The lack of resource constraints for edge servers makes it difficult to simultaneously perform a large number of Mobile Devices’ (MDs) requests. The Mobile Network Operator (MNO) must then select how to delegate MD queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit of admitted requests with varying latency needs. Unmanned Aerial Vehicles (UAVs) and Artificial Intelligent (AI) can increase MNO performance because of their flexibility in deployment, high mobility of UAV, and efficiency of AI algorithms. There is a trade-off between the cost incurred by the MD and the profit received by the MNO. Intelligent computing offloading to UAV-enabled MEC, on the other hand, is a promising way to bridge the gap between MDs' limited processing resources, as well as the intelligent algorithms that are utilized for computation offloading in the UAV-MEC network and the high computing demands of upcoming applications. This study looks at some of the research on the benefits of computation offloading process in the UAV-MEC network, as well as the intelligent models that are utilized for computation offloading in the UAV-MEC network. In addition, this article examines several intelligent pricing techniques in different structures in the UAV-MEC network. Finally, this work highlights some important open research issues and future research directions of Artificial Intelligent (AI) in computation offloading and applying intelligent pricing strategies in the UAV-MEC network.

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Section: -Price Of Uav-mecmentioning

confidence: 99%