AI/ML

Distributed Synthesis of Surveillance Strategies for Mobile Sensors. (arXiv:1902.02393v1 [cs.AI])





We study the problem of synthesizing strategies for a mobile sensor network
to conduct surveillance in partnership with static alarm triggers. We formulate
the problem as a multi-agent reactive synthesis problem with surveillance
objectives specified as temporal logic formulas. In order to avoid the state
space blow-up arising from a centralized strategy computation, we propose a
method to decentralize the surveillance strategy synthesis by decomposing the
multi-agent game into subgames that can be solved independently. We also
decompose the global surveillance specification into local specifications for
each sensor, and show that if the sensors satisfy their local surveillance
specifications, then the sensor network as a whole will satisfy the global
surveillance objective. Thus, our method is able to guarantee global
surveillance properties in a mobile sensor network while synthesizing
completely decentralized strategies with no need for coordination between the
sensors. We also present a case study in which we demonstrate an application of
decentralized surveillance strategy synthesis.

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