Empowering drones in vehicular network through fog computing and blockchain technology.
The performance of drones, especially for time-sensitive tasks, is critical in various applications. Fog nodes strategically placed near IoT devices serve as computational resources for drones, ensuring quick service responses for deadline-driven tasks. However, the limited battery capacity of drone...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0314420 |
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| _version_ | 1832540159198887936 |
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| author | Shivani Wadhwa Divya Gupta Shalli Rani Maha Driss Wadii Boulila |
| author_facet | Shivani Wadhwa Divya Gupta Shalli Rani Maha Driss Wadii Boulila |
| author_sort | Shivani Wadhwa |
| collection | DOAJ |
| description | The performance of drones, especially for time-sensitive tasks, is critical in various applications. Fog nodes strategically placed near IoT devices serve as computational resources for drones, ensuring quick service responses for deadline-driven tasks. However, the limited battery capacity of drones poses a challenge, necessitating energy-efficient Internet of Drones (IoD) systems. Despite the increasing demand for drone flying automation, there is a significant absence of a comprehensive drone network service architecture tailored for secure and efficient operations of drones. This research paper addresses this gap by proposing a safe, reliable, and real-time drone network service architecture, emphasizing collaboration with fog computing. The contribution includes a systematic architecture design and integration of blockchain technology for secure data storage. Fog computing was introduced for the Drone with Blockchain Technology (FCDBT) model, where drones collaborate to process IoT data efficiently. The proposed algorithm dynamically plans drone trajectories and optimizes computation offloading. Results from simulations demonstrate the effectiveness of the proposed architecture, showcasing reduced average response latency and improved throughput, particularly when accessing resources from fog nodes. Furthermore, the model evaluates blockchain consensus algorithms (PoW, PoS, DAG) and recommends DAG for superior performance in handling IoT data. Fog; Drones; Blockchain; PSO; IoT; Vehicular. |
| format | Article |
| id | doaj-art-0ef3b2a851d24208aedc012a3a74e07e |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-0ef3b2a851d24208aedc012a3a74e07e2025-02-05T05:32:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031442010.1371/journal.pone.0314420Empowering drones in vehicular network through fog computing and blockchain technology.Shivani WadhwaDivya GuptaShalli RaniMaha DrissWadii BoulilaThe performance of drones, especially for time-sensitive tasks, is critical in various applications. Fog nodes strategically placed near IoT devices serve as computational resources for drones, ensuring quick service responses for deadline-driven tasks. However, the limited battery capacity of drones poses a challenge, necessitating energy-efficient Internet of Drones (IoD) systems. Despite the increasing demand for drone flying automation, there is a significant absence of a comprehensive drone network service architecture tailored for secure and efficient operations of drones. This research paper addresses this gap by proposing a safe, reliable, and real-time drone network service architecture, emphasizing collaboration with fog computing. The contribution includes a systematic architecture design and integration of blockchain technology for secure data storage. Fog computing was introduced for the Drone with Blockchain Technology (FCDBT) model, where drones collaborate to process IoT data efficiently. The proposed algorithm dynamically plans drone trajectories and optimizes computation offloading. Results from simulations demonstrate the effectiveness of the proposed architecture, showcasing reduced average response latency and improved throughput, particularly when accessing resources from fog nodes. Furthermore, the model evaluates blockchain consensus algorithms (PoW, PoS, DAG) and recommends DAG for superior performance in handling IoT data. Fog; Drones; Blockchain; PSO; IoT; Vehicular.https://doi.org/10.1371/journal.pone.0314420 |
| spellingShingle | Shivani Wadhwa Divya Gupta Shalli Rani Maha Driss Wadii Boulila Empowering drones in vehicular network through fog computing and blockchain technology. PLoS ONE |
| title | Empowering drones in vehicular network through fog computing and blockchain technology. |
| title_full | Empowering drones in vehicular network through fog computing and blockchain technology. |
| title_fullStr | Empowering drones in vehicular network through fog computing and blockchain technology. |
| title_full_unstemmed | Empowering drones in vehicular network through fog computing and blockchain technology. |
| title_short | Empowering drones in vehicular network through fog computing and blockchain technology. |
| title_sort | empowering drones in vehicular network through fog computing and blockchain technology |
| url | https://doi.org/10.1371/journal.pone.0314420 |
| work_keys_str_mv | AT shivaniwadhwa empoweringdronesinvehicularnetworkthroughfogcomputingandblockchaintechnology AT divyagupta empoweringdronesinvehicularnetworkthroughfogcomputingandblockchaintechnology AT shallirani empoweringdronesinvehicularnetworkthroughfogcomputingandblockchaintechnology AT mahadriss empoweringdronesinvehicularnetworkthroughfogcomputingandblockchaintechnology AT wadiiboulila empoweringdronesinvehicularnetworkthroughfogcomputingandblockchaintechnology |