articleIEEE Internet of Things JournalMay 19, 2022HYBRID OA

A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges

PMPatrick McEnroeSWShen WangMLMadhusanka Liyanage

University College Dublin · University of Oulu

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Abstract

The latest 5G mobile networks have enabled many exciting Internet of Things (IoT) applications that employ unmanned aerial vehicles (UAVs/drones). The success of most UAV-based IoT applications is heavily dependent on artificial intelligence (AI) technologies, for instance, computer vision and path planning. These AI methods must process data and provide decisions while ensuring low latency and low energy consumption. However, the existing cloud-based AI paradigm finds it difficult to meet these strict UAV requirements. Edge AI, which runs AI on-device or on edge servers close to users, can be suitable for improving UAV-based IoT services. This article provides a comprehensive analysis of the impact of edge AI…

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419
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246.26
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100%
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157
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Authors

3

Topics & keywords

Topics
Keywords
  • Computer science
  • Edge computing
  • Drone
  • Cloud computing
  • Server
  • Enhanced Data Rates for GSM Evolution
  • Motion planning
  • Base station
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