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[BBM18] | A. R. Balasubramanian,
Nathalie Bertrand et
Nicolas Markey.
Parameterized verification of synchronization in
constrained reconfigurable broadcast networks.
In TACAS'18 (Part II),
Lecture Notes in Computer Science 10806, pages 38-54. Springer-Verlag, avril 2018.
@inproceedings{tacas2018-2-BBM, author = {Balasubramanian, A. R. and Bertrand, Nathalie and Markey, Nicolas}, title = {Parameterized verification of synchronization in constrained reconfigurable broadcast networks}, editor = {Beyer, Dirk and Huisman, Marieke}, booktitle = {{P}roceedings of the 24th {I}nternational {C}onference on {T}ools and {A}lgorithms for {C}onstruction and {A}nalysis of {S}ystems ({TACAS}'18)~-- {P}art~{II}}, acronym = {{TACAS}'18 (Part~{II})}, publisher = {Springer-Verlag}, series = {Lecture Notes in Computer Science}, volume = {10806}, pages = {38-54}, year = {2018}, month = apr, doi = {10.1007/978-3-319-89963-3_3}, abstract = {Reconfigurable broadcast networks provide a convenient formalism for modelling and reasoning about networks of mobile agents broadcasting messages to other agents following some (evolving) communication topology. The parameterized verification of such models aims at checking whether a given property holds irrespective of the initial configuration (number of agents, initial states and initial communication topology). We~focus here on the \emph{synchronization property}, asking whether all agents converge to a set of target states after some execution. This~problem is known to be decidable in polynomial time when no constraints are imposed on the evolution of the communication topology (while~it~is undecidable for static broadcast networks).\par In this paper we investigate how various constraints on reconfigurations affect the decidability and complexity of the synchronization problem. In~particular, we show that when bounding the number of reconfigured links between two communications steps by a constant, synchronization becomes undecidable; on~the other hand, synchronization remains decidable in PTIME when the bound grows with the number of agents.}, } |
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