Title
Dice the TX power — Improving Awareness Quality in VANETs by random transmit power selection
Abstract
Future safety-related vehicular applications require reliable information exchange provided by cooperative Vehicular Ad-hoc NETworks (VANETs). Although the vehicular WLAN standard IEEE 802.11p has been adapted to the challenging vehicular environment, it has not been adapted to the stringent communication requirements imposed by vehicular applications. In particular, broadcast transmissions are mostly periodic and initiated at common TX powers. This makes potential interferences recurring instead of spurious and lowers the performance of medium access for vehicular applications. In this paper, we propose to leverage recurring interferences by randomly selecting each TX power following a given probability distribution. Such randomization reduces the chances of recurring interferences, and the probability distribution provides control to the applications regarding the required Awareness Quality, in particular by providing a higher Awareness Quality at close range. This concept also reduces congestions by transmitting less at high distances. It is transparent to the applications, and manages to improve the Awareness Quality in a dense highway by a factor 2 to 20, yet at a factor 2 to 3 lower channel load.
Year
DOI
Venue
2012
10.1109/VNC.2012.6407445
Vehicular Networking Conference
Keywords
Field
DocType
cooperative communication,interference (signal),radio transmitters,statistical distributions,telecommunication standards,vehicular ad hoc networks,IEEE 802.11p,TX power,VANET,awareness quality,broadcast transmissions,cooperative vehicular ad-hoc networks,information exchange,medium access,probability distribution,random transmit power selection,safety-related vehicular applications,vehicular WLAN standard,vehicular environment
Broadcasting,Transmitter,Transmitter power output,Computer science,Information exchange,Computer network,Communication channel,Vehicular communication systems,Probability distribution,Vehicular ad hoc network
Conference
ISSN
ISBN
Citations 
2157-9857 E-ISBN : 978-1-4673-4994-9
978-1-4673-4994-9
18
PageRank 
References 
Authors
1.13
13
3
Name
Order
Citations
PageRank
Bernhard Kloiber1505.44
Jérôme Härri2100872.75
Thomas Strang327237.76