provide the data are selected based on
multiple GNPs, whereas in DAOGNP,
the optimal k-anycast member are selected based on a single GNP; and
Single address. In DAVM, a vehicle
uses addresses with different GNPs to
acquire data from optimal k-anycast
members through different routing
paths in parallel, whereas in DAOGNP, a node uses a single address with
a single GNP to acquire data from relatively optimal k-anycast members.
My observation that multihoming
and k-anycast can help lower data-acquisition latency to extend multihoming and k-anycast to VANET is what
led me to propose DAVM as a way to
reduce data-acquisition latency. My
results show DAVM works for three
Figure 4. Addressing latency.
Figure 5. Data-acquisition latency.
Number of addresses
˲ Extends multihoming to VANET;
˲ Extends the k-anycast idea with one
GNP to VANET with multihoming so vehicles can use addresses with different
GNPs to acquire data from multiple k-
anycast members in parallel; and
˲Provides the address-separation
mechanism so vehicles can obtain multiple addresses with different GNPs
through a single addressing process.
My future work will aim to take advantage of the powerful computing capabilities and abundant storage resources of
APs to help improve addressing and data
acquisition in VANET with multihoming.
This work is supported by the 333
Project Foundation (grant number
BRA2016438), CERNET Innovation Project (grant number NGII20170106), and
National Natural Science Foundation of
China (grant number 61202440).
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Xiaonan Wang ( email@example.com) is a professor in the
Computer Science and Engineering Department of Changshu
Institute of Technology, Jiangsu, Changshu, China.
© 2018 ACM 0001-0782/18/05 $15.00
As in Figure 4, with the increase in
the number of addresses, the addressing latency in the standard increases,
whereas the addressing latency in DAVM
tends to be stable. Such stability follows
from DAVM including an address-separation mechanism and a vehicle using
a single addressing process configured
with multiple addresses with different
GNPs. As a result, addressing latency is
only minimally affected by the number
of addresses. In the standard, only a
single addressing process is performed
for each GNP, so the addressing latency
grows with the number of addresses. As
shown in Figure 5, with the increase in
GNPs, the data-acquisition latency in
both DAVM and DAOGNP decreases,
but DAVM involves less data acquisition
latency for two main reasons:
Based on multiple GNPs. In DAVM,
the optimal k-anycast members that