Formal verification of standards for distance vector routing protocols
Journal of the ACM (JACM)
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
CMC: a pragmatic approach to model checking real code
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Verification and planning for stochastic processes with asynchronous events
Verification and planning for stochastic processes with asynchronous events
VESTA: A Statistical Model-checker and Analyzer for Probabilistic Systems
QEST '05 Proceedings of the Second International Conference on the Quantitative Evaluation of Systems
CMSB '08 Proceedings of the 6th International Conference on Computational Methods in Systems Biology
A Bayesian Approach to Model Checking Biological Systems
CMSB '09 Proceedings of the 7th International Conference on Computational Methods in Systems Biology
FMOODS'05 Proceedings of the 7th IFIP WG 6.1 international conference on Formal Methods for Open Object-Based Distributed Systems
Automated analysis of AODV using UPPAAL
TACAS'12 Proceedings of the 18th international conference on Tools and Algorithms for the Construction and Analysis of Systems
Checking and distributing statistical model checking
NFM'12 Proceedings of the 4th international conference on NASA Formal Methods
A rigorous analysis of AODV and its variants
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
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Wireless Mesh Networks (WMNs) are self-organising ad-hoc networks that support broadband communication. Due to changes in the topology, route discovery and maintenance play a crucial role in the reliability and the performance of such networks. Formal analysis of WMNs using exhaustive model checking techniques is often not feasible: network size (up to hundreds of nodes) and topology changes yield state-space explosion. Statistical Model Checking, however, can overcome this problem and allows a quantitative analysis. In this paper we illustrate this by a careful analysis of the Ad hoc On-demand Distance Vector (AODV) protocol. We show that some optional features of AODV are not useful, and that AODV shows unexpected behaviour--yielding a high probability of route discovery failure.