Towards Optimal Event Detection and Localization in Acyclic Flow Networks

  • Mahima Agumbe Suresh
  • Radu Stoleru
  • Ron Denton
  • Emily Zechman
  • Basem Shihada
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7129)

Abstract

Acyclic flow networks, present in many infrastructures of national importance (e.g., oil & gas and water distribution systems), have been attracting immense research interest. Existing solutions for detecting and locating attacks against these infrastructures, have been proven costly and imprecise, especially when dealing with large scale distribution systems. In this paper, to the best of our knowledge for the first time, we investigate how mobile sensor networks can be used for optimal event detection and localization in acyclic flow networks. Sensor nodes move along the edges of the network and detect events (i.e., attacks) and proximity to beacon nodes with known placement in the network. We formulate the problem of minimizing the cost of monitoring infrastructure (i.e., minimizing the number of sensor and beacon nodes deployed), while ensuring a degree of sensing coverage in a zone of interest and a required accuracy in locating events. We propose algorithms for solving these problems and demonstrate their effectiveness with results obtained from a high fidelity simulator.

Keywords

Sensor Network Sensor Node Wireless Sensor Network Insertion Point Water Distribution System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Mahima Agumbe Suresh
    • 1
  • Radu Stoleru
    • 1
  • Ron Denton
    • 1
  • Emily Zechman
    • 2
  • Basem Shihada
    • 3
  1. 1.Department of Computer Science and EngineeringTexas A&M UniversityUSA
  2. 2.Department of Civil EngineeringTexas A&M UniversityUSA
  3. 3.Department of Computer ScienceKing Abdullah University of Science and TechnologySaudi Arabia

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