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Information entropy-based cooperative surveillance in areas with obstacles

Karimi, S ; Sharif University of Technology | 2023

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  1. Type of Document: Article
  2. DOI: 10.1142/S2301385025500104
  3. Publisher: World Scientific , 2023
  4. Abstract:
  5. This paper solves the problem of searching a surveillance region and tracking possible radio emitters by multiple unmanned aerial vehicles cooperating through communication links in a decentralized manner. An innovative entropy-based approach is utilized to obtain the routes and tasks (search/track) for the vehicles. Another significant contribution of this research is the assumption of each vehicle being equipped with only one simple and cost-effective direction finding (DF) sensor. The routes and tasks are determined by minimizing a well-defined entropy-based cost function. The proposed surveillance scheme allows one to find a feasible and near-optimal solution. The algorithm’s efficiency is verified through various simulations. © World Scientific Publishing Company
  6. Keywords:
  7. Cooperative search ; DF sensor ; Environmental obstacles ; Information entropy ; Task and route optimization ; Unmanned aerial vehicle
  8. Source: Unmanned Systems ; 2023 ; 23013850 (ISSN)
  9. URL: https://www.worldscientific.com/doi/abs/10.1142/S2301385025500104