Fuzzy based named data networking(NDN) for vehicular information network

2016 ◽  
Author(s):  
Kanwalpreet Kaur ◽  
Sandeep Kad
Keyword(s):  
Information Network ◽  
Named Data Networking ◽  
Data Networking

Legal and Policy Implications of Named Data Networking

2013 ◽  
Author(s):  
Charles Duan ◽  
Cynthia Grady ◽  
Paul Ohm ◽  
James Grimmelmann
Keyword(s):  
Policy Implications ◽  
Named Data Networking ◽  
Data Networking

scholarly journals Data Forwarding Scheme for Vehicle Tracking in Named Data Networking

2021 ◽  
pp. 1-1
Author(s):  
Rui Hou ◽  
Shuo Zhou ◽  
Mengtian Cui ◽  
Lingyun Zhou ◽  
Deze Zeng ◽  
...  
Keyword(s):  
Vehicle Tracking ◽  
Named Data Networking ◽  
Data Forwarding ◽  
Data Networking

scholarly journals OPMSS: Optimal Producer Mobility Support Solution for Named Data Networking

2021 ◽  
Vol 11 (9) ◽  
pp. 4064
Author(s):  
Muktar Hussaini ◽  
Muhammad Ali Naeem ◽  
Byung-Seo Kim
Keyword(s):  
Optimal Routing ◽  
Data Path ◽  
Named Data Networking ◽  
Packet Losses ◽  
Average Delay ◽  
Internet Architecture ◽  
Mobility Support ◽  
Signaling Overhead ◽  
Handoff Latency ◽  
Data Networking

Named data networking (NDN) is designed as a clean-slate Internet architecture to replace the current IP Internet architecture. The named data networking was proposed to offer vast advantages, especially with the advent of new content distributions in IoT, 5G and vehicular networking. However, the architecture is still facing challenges for managing content producer mobility. Despite the efforts of many researchers that curtailed the high handoff latency and signaling overhead, there are still some prominent challenges, such as non-optimal routing path, long delay for data delivery and unnecessary interest packet losses. This paper proposed a solution to minimize unnecessary interest packet losses, delay and provide data path optimization when the mobile producer relocates by using mobility update, broadcasting and best route strategies. The proposed solution is implemented, evaluated and benchmarked with an existing Kite solution. The performance analysis result revealed that our proposed Optimal Producer Mobility Support Solution (OPMSS) minimizes the number of unnecessary interest packets lost on average by 30%, and an average delay of 25% to 30%, with almost equal and acceptable signaling overhead costs. Furthermore, it provides a better data packet delivery route than the Kite solution.

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