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PETRA
2010
ACM

Context-aware optimized information dissemination in large scale vehicular networks

9 years 12 months ago
Context-aware optimized information dissemination in large scale vehicular networks
Context-aware inter-vehicular communication is considered to be vital for inducing intelligence through the use of embedded computing devices inside vehicles. Vehicles in a scalable environment may disseminate information about certain road traffic conditions, traffic incidents, free parking space or other relevant information to the neighboring vehicles in the vicinity. In this paper, we optimize the dissemination of such context information by predicting traffic patterns in a geographical region, including traffic hotspots. We optimized the relevance backpropagation algorithm with prediction capabilities to efficiently disseminate information. We evaluate our approach with the OMNET++ network simulator using realistic large scale data sets. Our experimental results show that by optimizing information dissemination we significantly improve the Network Traffic, availability and relevant information delivery in a large scale vehicular network. Categories and Subject Descriptors H.3.3 [...
Yves Vanrompay, Ansar-Ul-Haque Yasar, Davy Preuven
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2010
Where PETRA
Authors Yves Vanrompay, Ansar-Ul-Haque Yasar, Davy Preuveneers, Yolande Berbers
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