Efficient Decentralized LTL Monitoring Framework Using Tableau Approach

The paper proposes a novel framework for decentralized monitoring of Linear Temporal Logic (LTL), under the situation where processes are synchronous, uniform, and fully interconnected and the formula is represented as a tableau. In the proposed framework, processes can propagate messages containing truth values of atomic formulas, compound formulas, and temporal formulas depending on the syntactic structure of the formula being monitored, the observation power of the processes, and the truth values of the propositions in the global LTL formula being monitored. The paper also develops a tableau-based algorithm that allows processes to derive at each state the minimal set of formulas whose truth values need to be propagated. Finally, the paper compares static monitoring approaches that combine round-robin schemes with tableau technique to dynamic monitoring approaches that combine LTL formulaprogression technique with tableau technique, and draw several interesting conclusions about their performance and usability.