• DocumentCode
    3732884
  • Title

    Efficient deployment of mobile detectors for security applications

  • Author

    Philipp Baumann;Reynold J. Cooper;Dorit S. Hochbaum;Nidhi Patel;Kunal Shalia

  • Author_Institution
    Department of Industrial Engineering and Operations Research, University of California, Berkeley, USA
  • fYear
    2015
  • Firstpage
    214
  • Lastpage
    218
  • Abstract
    We present a real-world problem that arises in security threat detection applications. The problem consists of deploying mobile detectors on moving units that follow predefined routes. Examples of such units are buses, coaches, and trolleys. Due to a limited budget not all available units can be equipped with a detector. The goal is to equip a subset of units such that the utility of the resulting coverage is maximized. Existing methods for detector deployment are designed to place detectors in fixed locations and are therefore not applicable to the problem considered here. We formulate the planning problem as a binary linear program and present a coverage heuristic for generating effective deployments in short CPU time. The heuristic has theoretical performance guarantees for important special cases of the problem. The effectiveness of the coverage heuristic is demonstrated in a computational analysis based on 28 instances that we derived from real-world data.
  • Keywords
    "Image edge detection","Detectors","Silicon","Irrigation","Artificial neural networks","Logistics"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2015.7385639
  • Filename
    7385639