• DocumentCode
    2564087
  • Title

    Optimal allocation of security sensors/guards-graph theoretic approach

  • Author

    Inoue, Koichi ; Kohda, Takehisa ; Shirahama, Masaki

  • Author_Institution
    Dept. of Aeronaut. Eng., Kyoto Univ., Japan
  • fYear
    1993
  • fDate
    13-15 Oct 1993
  • Firstpage
    134
  • Lastpage
    138
  • Abstract
    The problem of optimal allocation of security sensors and/or guards is formulated as a graph/network problem, where the importance of the concept of degree of security or multiple minimal cut set is stressed. An algorithm for solving the formulated graph/network problem is developed and it is shown that the algorithm is very effective from the viewpoint of computational complexity. Examples are given to illustrate the concept of degree of security, optimal allocation of security sensors/guards, multiple minimal cut set, and computational efficiency. A typical example among them is: assume a terrorist or a thief is going to attack a target in a town. The problem is to find the minimum number of sensors/guards and where and how to allocate them in the town, detecting him at least twice (or more generally k times) on his way to the target, even if he may take any route among numerous possible routes
  • Keywords
    access control; alarm systems; computational complexity; graph theory; operations research; optimisation; security; computational complexity; degree of security; graph/network problem; guards; multiple minimal cut set; optimal allocation; security sensors; terrorist; thief; Access control; Complexity theory; Graph theory; Operations research; Optimization methods; Protection/safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology, 1993. Security Technology, Proceedings. Institute of Electrical and Electronics Engineers 1993 International Carnahan Conference on
  • Conference_Location
    Ottawa, Ont.
  • Print_ISBN
    0-7803-1479-4
  • Type

    conf

  • DOI
    10.1109/CCST.1993.386812
  • Filename
    386812