TY - GEN
T1 - Supporting multi-dimensional naming for NDN applications
AU - Gao, Shuai
AU - Zhang, Hongke
AU - Zhang, Beichuan
N1 - Funding Information:
This work is supported by the National Basic Research Program of China (973 program) under Grant No. 2013CB329100, the National High Technology Research and Development Program (863) of China under Grant No. 2015AA016101, Beijing Nova Program under Grant No. Z151100000315052, the National NSF of China under Grant No. 61232017 and 61100217, the National Science Foundation under Grant No. 3015140 and 3011910. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF.
Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - Named Data Networking (NDN) adopts one-dimensional hierarchical naming and lookup operations based on longest prefix matching. On the other hand, users may express their requests with multi-dimensional attributes in order to meet the intrinsic spatial-temporal nature of the data existing in IoT applications. To bridge the gap between multi-dimensional user requests and one-dimensional hierarchical names in NDN applications, a novel middleware supporting multi-dimensional naming is designed to support efficient Interest expressions through name translation and optimization, as well as keep original NDN operations unchanged. Simulation experiments show that the proposed solution can improve the content retrieval efficiency and outperform the other baseline schemes in terms of the number of Interest packets and content retrieval time.
AB - Named Data Networking (NDN) adopts one-dimensional hierarchical naming and lookup operations based on longest prefix matching. On the other hand, users may express their requests with multi-dimensional attributes in order to meet the intrinsic spatial-temporal nature of the data existing in IoT applications. To bridge the gap between multi-dimensional user requests and one-dimensional hierarchical names in NDN applications, a novel middleware supporting multi-dimensional naming is designed to support efficient Interest expressions through name translation and optimization, as well as keep original NDN operations unchanged. Simulation experiments show that the proposed solution can improve the content retrieval efficiency and outperform the other baseline schemes in terms of the number of Interest packets and content retrieval time.
UR - http://www.scopus.com/inward/record.url?scp=85015931707&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015931707&partnerID=8YFLogxK
U2 - 10.1109/GLOCOMW.2016.7849054
DO - 10.1109/GLOCOMW.2016.7849054
M3 - Conference contribution
AN - SCOPUS:85015931707
T3 - 2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings
BT - 2016 IEEE Globecom Workshops, GC Wkshps 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Globecom Workshops, GC Wkshps 2016
Y2 - 4 December 2016 through 8 December 2016
ER -