SEAL: a framework for developing SEmantic PortALs
Proceedings of the 1st international conference on Knowledge capture
A Protocol for Content-Based Communication in Disconnected Mobile Ad Hoc Networks
AINA '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications
Persistent content-based information dissemination in hybrid vehicular networks
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Proceedings of the 5th international conference on Emerging networking experiments and technologies
Automotive Cloud Service Systems Based on Service-Oriented Architecture and Its Evaluation
CLOUD '11 Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing
A self-organizing content centric network model for hybrid vehicular ad-hoc networks
Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications
A semantics-based multi-agent framework for vehicular social network development
Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Content-centric networking: is that a solution for upcoming vehicular networks?
Proceedings of the ninth ACM international workshop on Vehicular inter-networking, systems, and applications
A content centric approach to dissemination of information in vehicular networks
Proceedings of the second ACM international symposium on Design and analysis of intelligent vehicular networks and applications
LPS and LRF: Efficient buffer management policies for Delay and Disruption Tolerant Networks
LCN '12 Proceedings of the 2012 IEEE 37th Conference on Local Computer Networks (LCN 2012)
Hi-index | 0.00 |
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.