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.