This document discusses vehicular content centric networks (VCCN) and related challenges. It provides an overview of vehicular networks, content centric networking (CCN), and how CCN could be applied to vehicular networks. The document identifies several challenges for VCCN, including data structures for content names, interests, and routing with high mobility. Preliminary results show the potential benefits of VCCN in reducing interest satisfaction delay and processing overhead compared to conventional networks. Future work is needed to develop smarter forwarding, efficient data structures, and evaluate the impact of various design decisions.

1. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Vehicular Content Centric Network (VCCN): A Survey
and Research Challenges
Safdar H. Bouk,
Syed H. Ahmed and
Dongkyun Kim
4/20/2015 1
ACM SAC 2015 Salamanca, Spain
April 13-17 2015

2. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Agenda
• Motivation
• Vehicular Networks
• Content Centric Networking (CCN)
• Vehicular CCN
• Challenges
• Preliminary Results
• Conclusion and Future Work
4/20/2015 2

3. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Motivation
4/20/2015 3
Source: http://share.cisco.com/vni14/
1. Internet Users
1.
2. Networked Devices
2.
3. M2M Connections
3.
4. IP Traffic
4.

4. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Motivation
The Mobile Network Through 2018
Mobile data traffic:
• Surpass 15EB monthly by 2018.
• Worldwide mobile connection speed will surpass 2 Mbps
by 2016.
• Smartphones data traffic will reach 66% of mobile data
traffic by 2018.
• Mobile tablet traffic will surpass 2.5 EB/month by 2018.
• 4G traffic will be more than half of the total mobile
traffic by 2018.
TB = Terabyte (1000 GB)
PB = Petabyte (1000 TB)
EB = Exabyte (1000 PB)
Source: Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2013–2018
Communication of huge amount of DATA/CONTENTS with addressed devices.
Information Centric Networking
4/20/2015 4

5. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Network Today
Today’s Networking:
◦ Device Centric
◦ Communicate by addressing the device.
◦ >90% of traffic is accessing different kind of Content.
◦ Inefficient for Content/data dissemination.
◦ Multicast ~ at huge cost of Network resources.
◦ Addressing ~ Inefficient : DNS, IPv6, etc. to identify
devices.
◦ Service Discovery ~ Many protocols, with no
standard.
◦ Mobility? ~ Achievable but not inherent in today’s networks.
◦ Security? ~ Connection: IPSec, VPN, SSL, but not Content ….
Result --> spam.
4/20/2015 5

6. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Vehicular Network
• Highly dynamic topology.
• Unpredictable link lifetime.
• Safety and Non-Safety applications.
• Large data requirements.
• Delay constraints, etc.
• With/Without infrastructure support.
• Data ranges from short messages to Large video contents.
V2V
Communication
V2I / I2V
Communication
4/20/2015 6

7. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Information Centric Networking (ICN)
ICN represents the third revolution in telecommunication networks….
Van Jacobson
◦ Information/Contents/Data are at the center of networking not
nodes/machines.
◦ Name DATA not Location/Device.
◦ Pull based consumer driven communication:
◦ Broadcast Interest Packet ~ Wait for Data Packet
◦ Request DATA in Network (Not data provider/host)
◦ Any node with the DATA (or copy in its Cache), Responds the
Request. (Authenticate Data not connection).
◦ Less delay, More Security, DNS….
4/20/2015 7

8. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Vehicular Information Centric Network
V2V
Communication
V2I
Communication
Name Prefixes
Out.
Face(s)
FIB
Names
In.
Face(s)
PIT
CS
Maintained
at each
Vehicle
Name each content
• Maintaining Names (specially in PIT)
• Data Structure with minimum space….
• Fast addition and deletion of names ….
• Searching Names from PIT and FIB.
• Speed and accuracy.
• Forwarding based on the search result.
4/20/2015 8

9. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Vehicular Information Centric Network
4/20/2015 9
Node D Node E
Node C
Node B
Node A
CS
Check
PIT
Check
FIB
Check
Add In Face in PIT
NO NO YES
YES
NoYES
Interest
DATA
Interest
Drop/NACK
Add CS?
Remove PIT Entry
YES
No
DATA DATA
Discard DATA
PIT
Check
Downstream
Upstream
Interest Forwarding
Data Forwarding
CONSUMER
PROVIDER

10. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Challenges
4/20/2015 10
Contents
Interest
Mobility
CS, FIB, PIT
Security
Naming
Routing /
Forwarding
Caching
VCCN

11. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Preliminary Results
4/20/2015 11
0
5
10
15
20
25
30
35
40
45
50
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
Avg.No.ofSatisfiedInterests/hop
Satisfied Interests - 1/2s
Satisfied Interests - 4/2s
Satisfied Interests - 7/2s
0
0.002
0.004
0.006
0.008
0.01
0.012
0.014
0.016
0.018
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29
AverageSatisfactionDelay(s)
HOPS
Conv. Satisfied Interests - 1/2s
Prop. Satisfied Interests - 1/2s
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29
AverageSatisfactionDelay
HOPS
Conv. Satisfied Interests - 7/2s
Prop. Satisfied Interests - 7/2s
Tx 500
Node 90
Speed 70

12. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Preliminary Results
4/20/2015 12
Tx 500
Node 90
Speed 70
0.0048
0.005
0.0052
0.0054
0.0056
0.0058
0.006
0.0062
0.0064
1 2 3 4 5 6 7
InterestSatisfactionDelay(s)
Interest/2s
Proposed 1
Proposed 2
Conventional ICN
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
1 2 3 4 5 6 7
No.ofProcessedDataPkts
Interest/2s
Proposed 1
Proposed 2
Conventional ICN
0
0.2
0.4
0.6
0.8
1
1.2
1 2 3 4 5 6 7
Max.PITEntryTime(s)
Interests/2s
Proposed 1
Proposed 2
Conventional ICN

13. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Conclusion
 We identified the challenges in the Vehicular Information
Centric Networks.
 The current focus is on Data and Interest flooding
minimization.
 Content Naming scheme for Vehicular Networks.
 Future Work
 Smart Forwarding.
 Efficient PIT, FIB and CS Search.
 Effect of PIT, FIB and CS Size on Interest Satisfaction Rate and Delay.
 ……..
4/20/2015 13

14. 4/20/2015 14
KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
Thanks

15. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
What Next….
VANET/V2X
Which ICN architecture?
Naming?
Requester Mobility: OK
Provider Mobility: ?
Role of RSUs?
Role of Backoffice Network?
Routing?
Caching Policy?
Security?
4/20/2015 15

16. KYUNGPOOK
NATIONAL UNIVERSITY, Daegu, Korea.
MoNet Laboratory
www.monet.knu.ac.kr
ICN Working Principle
 Routing Table
The concept of an ICN does
not force applications to take
on host-centric information.
Instead, it detaches the
application from such
concerns.
Gareth Tyson et al.
Where’s in the name?
4/20/2015 16