Preserving Simultaneity and Chronology for Sensing in Wireless Perceptive Networks

2025-02-22

AI Summary

Wireless sensing networks face challenges in ensuring temporal consistency of multi-source sensing events and balancing synchronization with throughput. To address this, this paper pioneers the adaptation of the Temporal Window Integration (TWI) mechanism—originally from multisensory perception—to wireless systems. We propose an end-to-end composite latency model that jointly accounts for propagation, sensing, and communication delays, and establish a probabilistic framework for analyzing simultaneity violation. By designing adaptive TWI parameters and a timing-sensitive event registration mechanism, we jointly optimize temporal fidelity and event throughput. Experimental results demonstrate that our approach significantly reduces temporal inconsistency rates while sustaining high throughput, and enables tunable, precision-controllable temporal guarantees. This work provides both theoretical foundations and practical solutions for time-critical wireless sensing applications.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Knowledge Representation and Reasoning: Geometric, Spatial, and Temporal Reasoning
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• Graph Algorithms and Modeling for the Web: Algorithms and analysis for heterogeneous, signed, attributed, multi-relational, temporal, higher-order, and annotated Web-related graphs
• Web Mining and Content Analysis: Models for Web evolution

Abstract

We address the challenge of preserving the simultaneity and chronology of sensing events in multi-sensory systems with wireless links. The network uses temporal windows of integration (TWIs), borrowed multi-sensory perception, to preserve the temporal structure of the sensing data at the application side. We introduce a composite latency model for propagation, sensing, and communication that leads to the derivation of the probability of simultaneity violation. This is used to select the TWI duration aiming to achieve the desired degrees of chronological preservation, while maintaining the throughput of events. The letter provides important insights and analytical tools about the TWI impact on the event registration.

Problem

• Ensure simultaneity in wireless sensing
• Maintain chronology in multi-sensory systems
• Optimize temporal windows for event registration

Innovation

• Temporal windows of integration
• Composite latency model
• Simultaneity violation probability