Anchoring data quality dimensions in ontological foundations
Communications of the ACM
Space/time trade-offs in hash coding with allowable errors
Communications of the ACM
AIMQ: a methodology for information quality assessment
Information and Management
A Peer-to-Peer Architecture for Context Lookup
MOBIQUITOUS '05 Proceedings of the The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services
Data Dissemination to a Large Mobile Network: Simulation of Broadcast Clouds
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Understanding wifi-based connectivity from moving vehicles
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
A computational analysis of driving variations on distributed multiuser driving simulators
MS '08 Proceedings of the 19th IASTED International Conference on Modelling and Simulation
Architectural backpropagation support for managing ambiguous context in smart environments
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Proceedings of the 2010 ACM Symposium on Applied Computing
Context-aware optimized information dissemination in large scale vehicular networks
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
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Adaptive context mediation in large scale vehicle networks leads towards telematics which refers to the concept of vehicles equipped with context-aware embedded smart computing devices with communication capabilities over certain networks. With the use of telematics we can make use of wide range of smart inter-vehicle communication applications like emergency message transmission, collision avoidance, congestion monitoring and intelligent parking space locator. In this paper we present certain requirements for adaptive context-aware information mediation in large scale vehicle networks. We make use of quality attributes for context information and network properties of large scale vehicle networks and experiment with real time data collected using a car simulator. We simulate flooding and other dissemination based communication techniques with relevance backpropagation for large scale vehicle networks using OMNET++ to analyze the flow of context information. Our simulation results show that our context-aware and adaptive directed diffusion of information using relevance backpropagation increases the performance of the nodes in a large scale vehicle network with less communication overhead.