Preserving Simultaneity and Chronology for Sensing in Wireless Perceptive Networks

João Henrique Inacio de Souza, Fabio Saggese, Beatriz Soret, Petar Popovski

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.