Title: When efficiency matters: Towards quality of context-aware peers for adaptive communication in VANETs
Authors: Yasar, Ansar-Ul-Haque
Paridel, Koosha
Preuveneers, Davy
Berbers, Yolande
Issue Date: Jun-2011
Publisher: IEEE
Host Document: 2011 IEEE Intelligent Vehicles Symposium (IV) pages:1006-1012
Conference: IEEE Intelligent Vehicles Symposium (IV) location:Baden-Baden, Germany date:5-9 June 2011
Abstract: In the near future vehicles will be equipped with embedded communication capabilities in order to perform context-sensitive tasks such as traffic flow control and incident
avoidance. In large scale vehicular networks it is of
vital importance that the information exchanged between the
vehicles meets a certain level of quality so that they can make informed automated decisions. In this paper we define Quality of Context (QoC) and Peer Reputation (PR) for nodes in vehicular networks and propose ways to apply them for efficient communication. Thus, we provide a two-fold solution in which on the one hand we focus on the quality of the information and on the other hand we aim at determining the reputation of the nodes involved in the communication. This helps to eliminate the use of erroneous, ambiguous and imprecise information provided by unknown entities. Our simulated experiments show that our mechanism significantly reduces network traffic usage, eases out the decision making process and guarantees a
minimum level of quality.
ISBN: 978-1-4577-0889-3
ISSN: 1931-0587
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section

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