TY - GEN
T1 - Supporting Producer Mobility via Named Data Networking in Space-Terrestrial Integrated Networks
AU - Liu, Di
AU - Huang, Chuanhe
AU - Chen, Xi
AU - Jia, Xiaohua
PY - 2017
Y1 - 2017
N2 - As a promising future network architecture, Named Data Networking (NDN) can provide content consumer mobility support naturally, but the content producer mobility support is remaining a challenging problem. Most previous researches just consider this problem in terrestrial scenarios, which has stable infrastructures to achieve node mobility management. In this paper, we consider it in a Future Space-Terrestrial Integrated Networks (FSTINs) scenario without handover management infrastructure. Specifically, we propose a tracing-based producer mobility management scheme and an addressing-assisted forwarding method via NDN architecture. In order to calculate the route of space segment, we formally describe Multi-Layered Satellite Networks (MLSNs) via a Time Varying Graph (TVG) model and define the foremost path calculating problem, as well as an algorithm that can work in both dense (connected) and sparse (delay/disruption tolerant) scenarios. Performance evaluation results demonstrate that the proposed scheme can support fast handover and efficient forwarding in the FSTIN scenario.
AB - As a promising future network architecture, Named Data Networking (NDN) can provide content consumer mobility support naturally, but the content producer mobility support is remaining a challenging problem. Most previous researches just consider this problem in terrestrial scenarios, which has stable infrastructures to achieve node mobility management. In this paper, we consider it in a Future Space-Terrestrial Integrated Networks (FSTINs) scenario without handover management infrastructure. Specifically, we propose a tracing-based producer mobility management scheme and an addressing-assisted forwarding method via NDN architecture. In order to calculate the route of space segment, we formally describe Multi-Layered Satellite Networks (MLSNs) via a Time Varying Graph (TVG) model and define the foremost path calculating problem, as well as an algorithm that can work in both dense (connected) and sparse (delay/disruption tolerant) scenarios. Performance evaluation results demonstrate that the proposed scheme can support fast handover and efficient forwarding in the FSTIN scenario.
KW - Mobility management
KW - NDN forwarding
KW - Space-Terrestrial Integrated Network
UR - https://www.scopus.com/pages/publications/85026365717
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85026365717&origin=recordpage
U2 - 10.1007/978-3-319-60033-8_70
DO - 10.1007/978-3-319-60033-8_70
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9783319600321
VL - 10251 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 829
EP - 841
BT - Wireless Algorithms, Systems, and Applications
A2 - Zhang, Yan
A2 - Khreishah, Abdallah
A2 - Yan, Mingyuan
A2 - Ma, Liran
PB - Springer Verlag
T2 - 12th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2017
Y2 - 19 June 2017 through 21 June 2017
ER -