A pipe-assisted mobility management in named data networking networks

Author(s):  
Yuh-Shyan Chen ◽  
Chih-Shun Hsu ◽  
De-Yi Huang
2018 ◽  
Vol 23 (4) ◽  
pp. 431-439
Author(s):  
Di Liu ◽  
Chuanhe Huang ◽  
Xi Chen ◽  
Xiaohua Jia

2015 ◽  
Vol 16 (13) ◽  
pp. 1773-1783 ◽  
Author(s):  
Zhiwei Yan ◽  
Sherali Zeadally ◽  
Siran Zhang ◽  
Ruowei Guo ◽  
Yong-Jin Park

Author(s):  
Muhammed Zaharadeen Ahmed ◽  
Aisha Hassan Abdalla Hashim ◽  
Othman O. Khalifa ◽  
Abdulkadir H. Alkali ◽  
Nur Shahida Bt Midi ◽  
...  

<span>Named Data Networking (NDN) performs its routing and forwarding decisions using name prefixes. This removes some of the issues affecting addresses in our traditional IP architecture such as limitation in address allocation and management, and even NAT translations etcetera. Another positivity of NDN is its ability to use the conventional routing like the link state and distance vector algorithm. In route announcement, NDN node broadcasts its name prefix which consists of the knowledge of the next communicating node. In this paper, we evaluate the performance of mobility management models used in forwarding NDN contents to a next hop. This makes it crucial to select an approach of mobility model that translates the nature of movement of the NDN mobile routers. A detailed analysis of the famous mobility model such as the Random Waypoint mobility and Constant Velocity were computed to determine the mobility rate of the NDN mobile router. Simulation analysis was carried out using ndnSIM 2.1 on Linux Version 16.1. we build and compile with modules and libraries in NS-3.29. The sample of movement of the mobile router is illustrated and our result present the viability of the Constant Velocity model as compared with the Random Way point.</span>


2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Moneeb Gohar ◽  
Naveed Khan ◽  
Awais Ahmad ◽  
Muhammad Najam-Ul-Islam ◽  
Shahzad Sarwar ◽  
...  

Named data networking (NDN) is an emerging technology. It was designed to eliminate the dependency of IP addresses in the hourglass model. Mobility is a key concern of the modern Internet architecture, even though the NDN architecture has solved the consumer mobility. That is, the consumer can rerequest the desired data contents, while the producer mobility remains as an issue in the NDN architecture. This paper focuses on the issue of producer mobility and proposes the cluster-based device mobility management scheme, which uses the cluster heads to solve the producer mobility issue in NDN. In the proposed scheme, a cluster head has all information of its attached devices. A cluster head updates the routes, when a device moves to the new access router by sending all the attachment information. The proposed scheme is evaluated and compared with the existing scheme by using the ndnSIM simulation. From the results, we see that the proposed scheme can decrease the numbers of interest packets in the network, compared with the existing scheme.


2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Inayat Ali ◽  
Huhnkuk Lim

Information-centric networking (ICN) is one of the promising solutions that cater to the challenges of IP-based networking. ICN shifts the IP-based access model to a data-centric model. Named Data Networking (NDN) is a flexible ICN architecture, which is based on content distribution considering data as the core entity rather than IP-based hosts. User-generated mobile contents for real-time multimedia communication such as Internet telephony are very common these days and are increasing both in quality and quantity. In NDN, producer mobility is one of the challenging problems to support uninterrupted real-time multimedia communication and needs to be resolved for the adoption of NDN as future Internet architecture. We assert that mobile node’s future location prediction can aid in designing efficient anchor-less mobility management techniques. In this article, we show how location prediction techniques can be used to provide an anchor-less mobility management solution in order to ensure seamless handover of the producer during real-time multimedia communication. The results indicate that with a low level of location prediction accuracy, our proposed methodology still profoundly reduces the total handover latency and round trip time without creating network overhead.


2013 ◽  
Author(s):  
Charles Duan ◽  
Cynthia Grady ◽  
Paul Ohm ◽  
James Grimmelmann

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