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Semantic Scholar · Article (Drones)
Advancing Drone Operations through Lightweight Blockchain and Fog Computing Integration: A Systematic Review
Attribution
This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and Drones.
Abstract
Verbatim from Semantic Scholar. Not paraphrased, not summarized.
This paper presents a systematic literature review investigating the integration of lightweight blockchain and fog computing technologies to enhance the security and operational efficiency of drones. With a focus on critical applications such as military surveillance and emergency response, this review examines how the combination of blockchain’s secure, decentralized ledger and fog computing’s low-latency, localized data processing can address the unique challenges of drone operations. By compiling and analyzing current research, this study highlights innovative approaches and solutions that leverage these technologies to improve data integrity, reduce communication latency, and facilitate real-time decision-making in drone missions. Our findings underscore the significant potential of this technological integration to advance the capabilities and reliability of drones in high-stakes scenarios.
Authors
- Rawabi Aldossri
- A. Aljughaiman
- A. Albuali
Keywords
- Computer Science
- Engineering
- Environmental Science
Citation: Rawabi Aldossri, A. Aljughaiman, A. Albuali (2024). Advancing Drone Operations through Lightweight Blockchain and Fog Computing Integration: A Systematic Review. Drones. Semantic Scholar ID fcd0faef22f5d0b33b593b5b5332e0bb80bdd52e. https://doi.org/10.3390/drones8040153 ↗