Supporting UAVs with Edge Computing: A Review of Opportunities and Challenges
October 18, 2023 Β· The Cartographer Β· π arXiv.org
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"Title-pattern auto-detect: Supporting UAVs with Edge Computing: A Review of Opportunities and Challenges"
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Authors
Malte JanΓen, Tobias Pfandzelter, Minghe Wang, David Bermbach
arXiv ID
2310.11957
Category
cs.DC: Distributed Computing
Cross-listed
eess.SP
Citations
4
Venue
arXiv.org
Last Checked
4 days ago
Abstract
Over the last years, Unmanned Aerial Vehicles (UAVs) have seen significant advancements in sensor capabilities and computational abilities, allowing for efficient autonomous navigation and visual tracking applications. However, the demand for computationally complex tasks has increased faster than advances in battery technology. This opens up possibilities for improvements using edge computing. In edge computing, edge servers can achieve lower latency responses compared to traditional cloud servers through strategic geographic deployments. Furthermore, these servers can maintain superior computational performance compared to UAVs, as they are not limited by battery constraints. Combining these technologies by aiding UAVs with edge servers, research finds measurable improvements in task completion speed, energy efficiency, and reliability across multiple applications and industries. This systematic literature review aims to analyze the current state of research and collect, select, and extract the key areas where UAV activities can be supported and improved through edge computing.
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