TY - JOUR
T1 - An NDN IoT Content Distribution Model With Network Coding Enhanced Forwarding Strategy for 5G
AU - Lei, Kai
AU - Zhong, Shangru
AU - Zhu, Fangxing
AU - Xu, Kuai
AU - Zhang, Haijun
N1 - Funding Information:
Manuscript received October 1, 2017; revised November 12, 2017; accepted November 26, 2017. Date of publication December 8, 2017; date of current version June 1, 2018. This work was supported in part by the National Natural Science Foundation of China under Grant 61471025 and Grant 61771044, in part by the Young Elite Scientist Sponsorship Program by CAST (2016QNRC001), in part by the Research Foundation of Ministry of Education of China & China Mobile (MCM2018-1-8), Beijing Municipal Natural Science Foundation (L172025), and the Fundamental Research Funds for the Central Universities (FRF-GF-17-A6), and in part by the Shenzhen Key Fundamental Research Projects under Grant JCYJ20160330095313861 and Grant JCYJ20170412151008290. Paper no. TII-17-2327. (Corresponding author: Haijun Zhang).
Publisher Copyright:
© 2005-2012 IEEE.
PY - 2018/6
Y1 - 2018/6
N2 - The challenging requirements of fifth-generation (5G) Internet-of-Things (IoT) applications have motivated a desired need for feasible network architecture, while Named Data Networking (NDN) is a suitable candidate to support the high density IoT applications. To effectively distribute increasingly large volumes of data in large-scale IoT applications, this paper applies network coding techniques into NDN to improve IoT network throughput and efficiency of content delivery for 5G. A probability-based multipath forwarding strategy is designed for network coding to make full use of its potential. To quantify performance benefits of applying network coding in 5G NDN, this paper integrates network coding into a NDN streaming media system implemented in the ndnSIM simulator. The experimental results clearly and fairly demonstrate that considering network coding in 5G NDN can significantly improve the performance, reliability, and QoS. Besides, this is a general solution as it is applicable for most cache approaches. More importantly, our approach has promising potentials in delivering growing IoT applications including high-quality streaming video services.
AB - The challenging requirements of fifth-generation (5G) Internet-of-Things (IoT) applications have motivated a desired need for feasible network architecture, while Named Data Networking (NDN) is a suitable candidate to support the high density IoT applications. To effectively distribute increasingly large volumes of data in large-scale IoT applications, this paper applies network coding techniques into NDN to improve IoT network throughput and efficiency of content delivery for 5G. A probability-based multipath forwarding strategy is designed for network coding to make full use of its potential. To quantify performance benefits of applying network coding in 5G NDN, this paper integrates network coding into a NDN streaming media system implemented in the ndnSIM simulator. The experimental results clearly and fairly demonstrate that considering network coding in 5G NDN can significantly improve the performance, reliability, and QoS. Besides, this is a general solution as it is applicable for most cache approaches. More importantly, our approach has promising potentials in delivering growing IoT applications including high-quality streaming video services.
KW - Content delivery
KW - internet-of-things (IoT) streaming system
KW - named data networking (NDN)
KW - network coding
KW - probability multipath forwarding
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U2 - 10.1109/TII.2017.2781372
DO - 10.1109/TII.2017.2781372
M3 - Article
AN - SCOPUS:85038397041
SN - 1551-3203
VL - 14
SP - 2725
EP - 2735
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 6
ER -