|
For Full-Text PDF, please login, if you are a member of IEICE,
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
|
Geolocation-Centric Information Platform for Resilient Spatio-temporal Content Management
Kazuya TSUKAMOTO Hitomi TAMURA Yuzo TAENAKA Daiki NOBAYASHI Hiroshi YAMAMOTO Takeshi IKENAGA Myung LEE
Publication
IEICE TRANSACTIONS on Communications
Vol.E104-B
No.3
pp.199-209 Publication Date: 2021/03/01 Publicized: 2020/09/11 Online ISSN: 1745-1345
DOI: 10.1587/transcom.2020NVI0003 Type of Manuscript: Special Section INVITED PAPER (Special Section on Fusion of Network Virtualization/Softwarization and Artificial Intelligence towards Beyond-5G Innovative IoT Services) Category: Network Keyword: geolocation-centric, cross-domain data fusion, local production for local consumption,
Full Text: FreePDF
Summary:
In IoT era, the growth of data variety is driven by cross-domain data fusion. In this paper, we advocate that “local production for local consumption (LPLC) paradigm” can be an innovative approach in cross-domain data fusion, and propose a new framework, geolocation-centric information platform (GCIP) that can produce and deliver diverse spatio-temporal content (STC). In the GCIP, (1) infrastructure-based geographic hierarchy edge network and (2) adhoc-based STC retention system are interplayed to provide both of geolocation-awareness and resiliency. Then, we discussed the concepts and the technical challenges of the GCIP. Finally, we implemented a proof-of-concepts of GCIP and demonstrated its efficacy through practical experiments on campus IPv6 network and simulation experiments.
|
|
|