Monitoring Mobile and Spatially Distributed Cyber-Physical Systems
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Abstract (arXiv)
Cyber-Physical Systems~(CPS) consist of collaborative, networked and tightly intertwined computational (logical) and physical components, each operating at different spatial and temporal scales. Hence, the spatial and temporal requirements play an essential role for their correct and safe execution. Furthermore, the local interactions among the system components result in global spatio-temporal emergent behaviors often impossible to predict at the design time. In this work, we pursue a complementary approach by introducing STREL a novel spatio-temporal logic that enables the specification of spatio-temporal requirements and their monitoring over the execution of mobile and spatially distributed CPS. Our logic extends the Signal Temporal Logic with two novel spatial operators reach and escape from which is possible to derive other spatial modalities such as everywhere, somewhere and surround. These operators enable a monitoring procedure where the satisfaction of the property at each location depends only on the satisfaction of its neighbours, opening the way to future distributed online monitoring algorithms. We propose both a qualitative and quantitative semantics based on constraint semirings, an algebraic structure suitable for constraint satisfaction and optimisation. We prove that, for a subclass of models, all the spatial properties expressed with reach and escape, using euclidean distance, satisfy all the model transformations using rotation, reflection and translation. Finally, we provide an offline monitoring algorithm for STREL and, to demonstrate the feasibility of our approach, we show its application using the monitoring of a simulated mobile ad-hoc sensor network as running example.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 15 Apr 2019.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 0; 2024: 1; 2025: 1; 2026: 3.
8 papers.
- 2021Neural Network-based Control for Multi-Agent Systems from Spatio-Temporal Specificationscited by 2
- 2021Mining Interpretable Spatio-temporal Logic Properties for Spatially Distributed Systemscited by 1
- 2021Learning Spatio-Temporal Specifications for Dynamical Systemscited by 1
- 2024A Hybrid Deep Learning and Model-Checking Framework for Accurate Brain Tumor Detection and Validationcited by 0
- 2025Model Checking in Medical Imaging for Tumor Detection and Segmentationcited by 0
- 2026Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal Logiccited by 0
- 2026Mission-Level Runtime Assurance for LLM-Assisted ISR Swarms over a Verification-Aware Fabriccited by 0
- 2026Multi-Agent Planning with Spatio-Temporal and Topological Constraints using STL-GOcited by 0
- 2026Multi-Agent Planning with Spatio-Temporal and Topological Constraints using STL-GO29 Jul 2026
- 2026Mission-Level Runtime Assurance for LLM-Assisted ISR Swarms over a Verification-Aware Fabric26 Jul 2026
- 2026Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal Logic18 May 2026
- 2025Model Checking in Medical Imaging for Tumor Detection and Segmentation2 Jan 2025
- 2024A Hybrid Deep Learning and Model-Checking Framework for Accurate Brain Tumor Detection and Validation31 Dec 2024
- 2021Learning Spatio-Temporal Specifications for Dynamical Systems20 Dec 2021
- 2021Mining Interpretable Spatio-temporal Logic Properties for Spatially Distributed Systems16 Jun 2021
- 2021Neural Network-based Control for Multi-Agent Systems from Spatio-Temporal Specifications6 Apr 2021