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This study reports the suitability of several algorithms to identify the best course in a network of lines that is utilized to guide an unmanned aerial vehicle (UAV) aircraft in a safety configuration. It utilizes a waypoint graph for this purpose, founded on the GPS location of flight route movement locations in three dimensions. It performs a comparative analysis of the drone path prediction using a dynamic adjacency matrix that represents the shortest path in the graph. In the perspective of the spot surveillance mode, evaluate the benefits and drawbacks of the two routing methods.

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Network and Security Solution Using Artificial Intelligence-Based Graph Search Algorithm for Drone Transportation

  • 会议论文

  • 发表日期：

    2025年

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  • Pramod Kumar Patel,
  • Amarjeet Ghosh,
  • Aishwarya Mishra,
  • Rajesh Nema,
  • Dilip Kumar Gandhi,
  • Neeraj Agarwal,
  • Ashish Raghuwanshi

摘要

This study reports the suitability of several algorithms to identify the best course in a network of lines that is utilized to guide an unmanned aerial vehicle (UAV) aircraft in a safety configuration. It utilizes a waypoint graph for this purpose, founded on the GPS location of flight route movement locations in three dimensions. It performs a comparative analysis of the drone path prediction using a dynamic adjacency matrix that represents the shortest path in the graph. In the perspective of the spot surveillance mode, evaluate the benefits and drawbacks of the two routing methods.