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      On guarding real terrains: The terrain guarding and the blocking path problems

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      Embargo Lift Date: 2023-07-31
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      Author(s)
      Eliş, Haluk
      Tansel, Barbaros
      Oğuz, Osman
      Güney, M.
      Kian, R.
      Date
      2021-07
      Source Title
      Omega
      Print ISSN
      0305-0483
       
      1873-5274
       
      Publisher
      Elsevier Ltd
      Volume
      102
      Pages
      102303-1 - 102303-17
      Language
      English
      Type
      Article
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      Abstract
      Locating a minimum number of guards on a terrain such that every point on the terrain is guarded by at least one of the guards is known as the Terrain Guarding Problem (TGP). In this paper, a realistic example of the terrain guarding problem is studied, involving the surveillance of a rugged geographical terrain by means of thermal cameras. A number of issues related to TGP are addressed with integer-programming models proposed to solve the problem. Also, a sensitivity analysis is carried out in which five fictitious terrains are created to see the effect of the resolution of the terrain, and of terrain characteristics, on coverage optimization and the required number of guards. Finally, a new problem, which is called the Blocking Path Problem (BPP), is introduced. BPP is about guarding a path on the terrain with a minimum number of guards such that the path blocks all possible infiltration routes. A discussion is provided about the relation of BPP to the Network Interdiction Problem (NIP), which has been studied extensively by the operations research community, and to the k-Barrier Coverage Problem, which has been studied under the Sensor Deployment Problem. BPP is solved via an integer-programming formulation based on a network paradigm.
      Keywords
      Terrain guarding problem
      Blocking path problem
      Border security
      Network interdiction problem
      K-barrier coverage problem
      Finite dominating sets
      Permalink
      http://hdl.handle.net/11693/77504
      Published Version (Please cite this version)
      https://doi.org/10.1016/j.omega.2020.102303
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      • Department of Industrial Engineering 733
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