@article{oai:muroran-it.repo.nii.ac.jp:00010379,
 author = {Xu, Jianwen and 徐, 建文 and OTA,  Kaoru and 太田, 香 and DONG,  Mianxiong and 董, 冕雄},
 issue = {3},
 journal = {IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING},
 month = {},
 note = {application/pdf, Content-Centric Networking (CCN) is now a research hotspot aiming at building up a new network architecture compared with the traditional IP-based, host-centric one. In this paper, after leaning that CCN's content naming and content-based properties make it suitable for fast network organizing in disaster recovery, we propose methods on access point placement and routing to fast connect users in a middle-scale post-disaster scenario model. Our work includes the design of a placement algorithm using graphic union coverage and a CCN routing strategy based on Breadth-First Searching, both extracting the social attributes of user node distribution. We use real-world maps for simulation and carry out comparative analysis with existing Ad Hoc methods under the same experimental conditions. The simulation results show that CCN can bring more efficient routing and robust framework to fulfill the urgent demands of post-disaster recovery.},
 pages = {845--854},
 title = {Fast Networking for Disaster Recovery},
 volume = {8},
 year = {2020},
 yomi = {ジョ, ケンブン and オオタ, カオル and トウ, メンユウ}
}