Preserving Simultaneity and Chronology for Sensing in Perceptive Wireless Networks

TL;DR

This paper proposes a method to preserve the timing and order of sensing events in wireless multisensor networks using temporal windows, with an analytical model to optimize event registration accuracy.

Contribution

It introduces a composite latency model and a TWI selection strategy to maintain event chronology and simultaneity in wireless sensing systems.

Findings

Derived probability of simultaneity violation.

Analytical tools for TWI impact on event registration.

Guidelines for TWI duration to balance preservation and throughput.

Abstract

We address the challenge of preserving the simultaneity and chronology of sensing events in multisensor systems with wireless links. The network uses temporal windows of integration (TWIs), borrowed from human multisensory 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.