Uncertainty-dependent data collection in vehicular sensor networks
For vehicular network developers, it addresses the problem of efficient wireless communication channel utilization, but the results are incremental.
The paper proposes data collection algorithms that use uncertainty estimates to reduce data transmission in vehicular sensor networks for road traffic control, achieving efficient channel utilization.
Vehicular sensor networks (VSNs) are built on top of vehicular ad-hoc networks (VANETs) by equipping vehicles with sensing devices. These new technologies create a huge opportunity to extend the sensing capabilities of the existing road traffic control systems and improve their performance. Efficient utilisation of wireless communication channel is one of the basic issues in the vehicular networks development. This paper presents and evaluates data collection algorithms that use uncertainty estimates to reduce data transmission in a VSN-based road traffic control system.