TY - GEN
T1 - Semantic based networking of information in vehicular clouds based on dimensionality reduction
AU - TalebiFard, Peyman
AU - Nicanfar, Hasen
AU - Hu, Xiping
AU - Leung, Victor C.M.
PY - 2013
Y1 - 2013
N2 - Transport of information in vehicular clouds faces challenges due to intermittent connectivity and the fact that the already existing Internet protocol based transport solutions do not exploit the semantics of information to utilize the available contextual information. With the advent of Internet of Things and Machine to Machine communications, availability of contextual information through the wisdom of the crowd and ubiquity of sensors and devices calls for a shift towards networking of information beyond Internet Protocol (IP) level connectivity. We propose a novel approach for forwarding and discarding policy that can be utilized by content aware network elements. The proposed method makes use of multidimensional scaling techniques that leverages the spectral characteristics of information predicates. By evaluations and analysis we show that by considering the networking of information paradigm for vehicular clouds our proposed clustering technique yields a lower processing cost and complexity as the system scales.
AB - Transport of information in vehicular clouds faces challenges due to intermittent connectivity and the fact that the already existing Internet protocol based transport solutions do not exploit the semantics of information to utilize the available contextual information. With the advent of Internet of Things and Machine to Machine communications, availability of contextual information through the wisdom of the crowd and ubiquity of sensors and devices calls for a shift towards networking of information beyond Internet Protocol (IP) level connectivity. We propose a novel approach for forwarding and discarding policy that can be utilized by content aware network elements. The proposed method makes use of multidimensional scaling techniques that leverages the spectral characteristics of information predicates. By evaluations and analysis we show that by considering the networking of information paradigm for vehicular clouds our proposed clustering technique yields a lower processing cost and complexity as the system scales.
KW - content dissemination
KW - content-centric networking
KW - dimensionality reduction
KW - networking of information
KW - semantic based networking
KW - spectral characteristics
KW - vehicular networking
UR - http://www.scopus.com/inward/record.url?scp=84889666613&partnerID=8YFLogxK
U2 - 10.1145/2512921.2512925
DO - 10.1145/2512921.2512925
M3 - Conference contribution
AN - SCOPUS:84889666613
SN - 9781450323581
T3 - DIVANet 2013 - Proceedings of the 3rd ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, Co-located with ACM MSWiM 2013
SP - 69
EP - 76
BT - DIVANet 2013 - Proceedings of the 3rd ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, Co-located with ACM MSWiM 2013
T2 - 3rd ACM Int. Symp. on Design and Analysis of Intelligent Vehicular Networks and Applications, DIVANet 2013, Held in Conjunction with the 16th ACM Int. Conf. on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2013
Y2 - 3 November 2013 through 8 November 2013
ER -