Temporal Windows of Integration for Multisensory Wireless Systems as Enablers of Physical AI
Anup Mishra, Jo\~ao Henrique Inacio de Souza, and Petar Popovski

TL;DR
This paper introduces a timing-aware approach for Physical AI systems that ensures decision relevance by optimizing delay and reliability in multisensory wireless networks, enabling more coherent real-time physical interactions.
Contribution
It formulates a convex optimization framework to minimize the validity horizon while maintaining reliability, advancing the design of timing-aware Physical AI systems.
Findings
Optimal reliability and delay budgets are derived for multisensory wireless systems.
The proposed method outperforms uniform reliability allocation benchmarks.
The approach ensures more coherent and timely decision-making in Physical AI applications.
Abstract
Physical artificial intelligence (AI) refers to the AI that interacts with the physical world in real time. Similar to multisensory perception, Physical AI makes decisions based on multimodal updates from sensors and devices. Physical AI thus operates with a finite spatial footprint of its sensory tributaries. The multimodal updates traverse heterogeneous and unreliable paths, involving wireless links. Throughput or latency guarantees do not ensure correct decision-making, as misaligned, misordered, or stale inputs still yield wrong inferences. Preserving decision-time coherence hinges on three timing primitives at the network-application interface: (i) simultaneity, a short coincidence window that groups measurements as co-temporal, (ii) causality, path-wise delivery that never lets a consequence precede its precursor, and (iii) usefulness, a validity horizon that drops information too…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Network Time Synchronization Technologies · Wireless Networks and Protocols
