4 papers
Low-Latency Spatial-Provenance Recovery Methods for Privacy-Constrained Vehicular Networks
Manish Bansal, J. Harshan
In multihop Vehicle-to-Everything (V2X) networks, Road Side Units (RSUs) intend to collect information on vehicles' location in a low-latency manner while respecting their privacy…
On Spatial-Provenance Recovery in Wireless Networks with Relaxed-Privacy Constraints
Manish Bansal, Pramsu Shrivastava, J. Harshan
In Vehicle-to-Everything (V2X) networks with multi-hop communication, Road Side Units (RSUs) intend to gather location data from the vehicles to offer various location-based servic…
On Learning Spatial Provenance in Privacy-Constrained Wireless Networks
Manish Bansal, Pramsu Srivastava, J. Harshan
In Vehicle-to-Everything networks that involve multi-hop communication, the Road Side Units (RSUs) typically aim to collect location information from the participating vehicles to…
A Prototype on the Feasibility of Learning Spatial Provenance in XBee and LoRa Networks
Manish Bansal, Pramsu Shrivastava, J. Harshan
In Vehicle-to-Everything (V2X) networks that involve multi-hop communication, the Road Side Units (RSUs) typically desire to gather the location information of the participating ve…