DocumentCode
2172277
Title
Scalable Keyword-Based Data Retrievals in Future Content-Centric Networks
Author
Ying Mao ; Bo Sheng ; Mooi Choo Chuah
Author_Institution
Dept. of Comput. Sci., Univ. of Massachusetts Boston, Boston, MA, USA
fYear
2012
fDate
14-16 Dec. 2012
Firstpage
116
Lastpage
123
Abstract
The emergence of powerful mobile devices has allowed users to publish more contents in the Internet in recent years. The existing Internet architecture cannot cope with such exponential growth in users published contents. Content-centric networks have been proposed recently to allow future Internet to be data-centric rather than network centric. Several content centric networking approaches have been proposed, but most of them assume that users know the unique identifiers of the contents that are of interests to them. SECON [1] proposed a content centric mobile network solution that provides keyword based retrievals. However, the authors do not provide detailed description on how their solution can be made scalable. In this paper, we propose two scalable solutions for keyword based retrievals in content centric networks. Our preliminary simulation results indicate that our solutions are scalable.
Keywords
Internet; content-based retrieval; mobile radio; smart phones; Internet architecture; SECON; content centric mobile network solution; content centric networking approaches; content centric networks; content-centric networks; data-centric; detailed description; keyword based retrievals; network centric; powerful mobile devices; published contents; scalable keyword-based data retrievals;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Ad-hoc and Sensor Networks (MSN), 2012 Eighth International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-5808-8
Type
conf
DOI
10.1109/MSN.2012.36
Filename
6516474
Link To Document