Block chain can be applied to the unattended aerial edge computing systems that not only can be implemented to support secure and reliable data communication that can be enabled by AIoT (Artificial Intelligence of Things) applications. All of them are fast, agile data transporters, and thus crucial to many real-time AIoT systems, but there are disadvantages (latency, safety/hazard and limited compute/processing). In this paper, we introduce a blockchain-based approach to improve security, throughput and consistency of data in UAV-mediated aerial edge computing. This method includes UAV generated and processed AIoT information secured on distributed ledger system based on blockchain technology. Consensus mechanisms that are lightweight can provide low latency and energy efficiency, which is critical for UAV performance. Moreover, edge computing architecture offloads complex AI tasks to edge nodes that are closer to the source of data, so providing real-time data and avoiding the processing cost over UAVs. According to experimental results, data transfers usage, low latency, and high resistance to cyberattacks ranging from spoofing, data manipulation, data injection, as well as data injection are significantly improved. This article explores a few of these important and significant topics, including information security, legal sciences and devices in IoT, through the integration of blockchain and edge computing. It analyses the role of blockchain towards MEC-IoT systems, and presents solutions and solutions to mitigate safety and data transfer issues concerning AIoT UAVs. By improving the security and capability of UAV networks, this blockchain-enabled platform will form the basis for robust AIoT systems in diverse applications, from disaster relief and smart cities to precision agriculture.

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An Effective Blockchain-Based Data Transmission Design for Aiot Uav Vehicle Aerial Edge Computing

  • R. Venkateswara Reddy,
  • A. Mahendar,
  • Shaik Ruksana,
  • B. Revathi,
  • R. Sivakami

摘要

Block chain can be applied to the unattended aerial edge computing systems that not only can be implemented to support secure and reliable data communication that can be enabled by AIoT (Artificial Intelligence of Things) applications. All of them are fast, agile data transporters, and thus crucial to many real-time AIoT systems, but there are disadvantages (latency, safety/hazard and limited compute/processing). In this paper, we introduce a blockchain-based approach to improve security, throughput and consistency of data in UAV-mediated aerial edge computing. This method includes UAV generated and processed AIoT information secured on distributed ledger system based on blockchain technology. Consensus mechanisms that are lightweight can provide low latency and energy efficiency, which is critical for UAV performance. Moreover, edge computing architecture offloads complex AI tasks to edge nodes that are closer to the source of data, so providing real-time data and avoiding the processing cost over UAVs. According to experimental results, data transfers usage, low latency, and high resistance to cyberattacks ranging from spoofing, data manipulation, data injection, as well as data injection are significantly improved. This article explores a few of these important and significant topics, including information security, legal sciences and devices in IoT, through the integration of blockchain and edge computing. It analyses the role of blockchain towards MEC-IoT systems, and presents solutions and solutions to mitigate safety and data transfer issues concerning AIoT UAVs. By improving the security and capability of UAV networks, this blockchain-enabled platform will form the basis for robust AIoT systems in diverse applications, from disaster relief and smart cities to precision agriculture.