Abstract
According to the current status of European Vehicular Ad- Hoc Network (VANET) standardization, vehicles gather and process Cooperative Awareness Messages (CAMs) sent from their environment. The rate of CAMs received by each vehicle can be high, and due to limited resources in series vehicles their processing is an open challenge. Following previous work, we present an improved relevance estimation function which calculates a relevance value for each received message based on basic information like position, speed, and heading without map data. Other than before, the new function incorporates non-static movement extrapolation of vehicles. We evaluate the newly proposed function using a receiver-centric approach
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Breu, J., Menth, M. (2014). An Improved Relevance Estimation Function for Cooperative Awareness Messages in VANETs. In: Sikora, A., Berbineau, M., Vinel, A., Jonsson, M., Pirovano, A., Aguado, M. (eds) Communication Technologies for Vehicles. Nets4Cars/Nets4Trains/Nets4Aircraft 2014. Lecture Notes in Computer Science, vol 8435. Springer, Cham. https://doi.org/10.1007/978-3-319-06644-8_5
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DOI: https://doi.org/10.1007/978-3-319-06644-8_5
Publisher Name: Springer, Cham
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