WITH THE AMOUNT of multimedia data large and growing
larger, low-latency data acquisition represents an
important practical goal for emerging Internet of
Vehicles applications. Multihoming could help reduce
such latency because it could let a single node use
multiple addresses to acquire data in parallel.
Network researchers are thus trying
to extend multihoming to vehicular
ad hoc networks (VANETs), aiming to
reduce latency in the Internet of Ve-
hicles. But in VANETs with multihom-
ing, a vehicle must be able to perform n
addressing processes to be configured
with addresses with n global network
prefixes (GNPs). And getting a vehicle
to use addresses with different GNPs
to acquire data in parallel through the
standard communication models is
a significant engineering challenge.
Here, I propose an address-separation
mechanism so vehicles can be con-
figured with addresses with different
GNPs in a single addressing process,
extending the k-anycast model to help
acquire data in parallel.
Vehicles on the road today include
abundant computer processing and
storage, producing demand for con-
˽ Because there is so much multimedia
data, low-latency data acquisition could
help ensure vehicles get what they need.
˽ Acquiring multimedia data through
vehicular ad hoc networks helps deliver
the data to networked vehicles.
˽ The k-anycast model can be extended to
vehicular ad hoc networks so they can
acquire data in parallel and help reduce
latency in data acquisition.
The data comes from multiple optimal sources
in parallel, helping reduce addressing and
BY XIAONAN WANG