Mechanized extraction of topology anti-patterns in wireless networks

  • Authors:
  • Matthias Woehrle;Rena Bakhshi;Mohammad Reza Mousavi

  • Affiliations:
  • Embedded Software Group, Delft University of Technology, The Netherlands;Department of Computer Science, Vrije Universiteit Amsterdam, The Netherlands;Embedded Software Group, Delft University of Technology, The Netherlands,Eindhoven University of Technology, Eindhoven, The Netherlands

  • Venue:
  • IFM'12 Proceedings of the 9th international conference on Integrated Formal Methods
  • Year:
  • 2012

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Abstract

Exhaustive and mechanized formal verification of wireless networks is hampered by the huge number of possible topologies and the large size of the actual networks. However, the generic communication structure in such networks allows for reducing the root causes of faults to faulty (sub-)topologies, called anti-patterns, of small size. We propose techniques to find such anti-patterns using a combination of model-checking and automated debugging. We apply the proposed technique on two well-known protocols for wireless sensor networks and show that the techniques indeed find the root causes in terms of canonical topologies featuring the fault.