Model Checking a Self-Adaptive Camera Network with Physical Disturbances

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The paper describes the design and verification of a self-adaptive system, composed of multiple smart cameras connected to a monitoring station, that determines the allocation of network bandwidth to the cameras. The design of such a system poses significant challenges, since multiple control strategies are active in the system simultaneously. In fact, the cameras adjust the quality of their streams to the available bandwidth, that is at the same time allocated by the monitoring station. Model checking has proven successful to verify properties of this complex system, when the effect of actions happening in the physical environment was neglected. Extending the verification models to include disturbances from the physical environment is however nontrival due to the state explosion problem. In this paper we show a comparison between the previously developed deterministic model and two alternatives for disturbance handling: a probabilistic and a nondeterministic model. We verify properties for the three models, discovering that the nondeterministic model scales better when the number of cameras increase and is more representative of the dynamic physical environment. We then focus on the nondeterministic model and study, using stochastic games, the behavior of the system when the players (cameras and network manager) collaborate or compete to reach their own objectives.
Titel på värdpublikationIEEE International Conference on Autonomic Computing
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (tryckt)978-172812411-7
StatusPublished - 2019
Evenemang16th IEEE International Conference on Autonomic Computing - Umeå, Sverige
Varaktighet: 2019 juni 162019 juni 20
Konferensnummer: 16


Konferens16th IEEE International Conference on Autonomic Computing
Förkortad titelICAC

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