Reference : Pick the Right Guy: CQI-Based LTE Forwarder Selection in VANETs
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/32716
Pick the Right Guy: CQI-Based LTE Forwarder Selection in VANETs
English
Turcanu, Ion mailto [Università degli Studi di Roma "La Sapienza" > Dipartimento di Ingegneria dell’Informazione, Elettronica e Telecomunicazioni (DIET)]
Sommer, Christoph [University of Paderborn > Heinz Nixdorf Institute and Department of Computer Science]
Baiocchi, Andrea [Università degli Studi di Roma "La Sapienza" > Dipartimento di Ingegneria dell’Informazione, Elettronica e Telecomunicazioni (DIET)]
Dressler, Falko [University of Paderborn > Heinz Nixdorf Institute and Department of Computer Science]
Dec-2016
8th IEEE Vehicular Networking Conference (VNC 2016)
IEEE
Yes
No
Columbus, OH
8th Vehicular Networking Conference (VNC 2016)
from 08-10-2016 to 10-12-2016
[en] Periodical collection of data from vehicles inside a target area is of interest for many applications in the context of Intelligent Transportation Systems (ITS). Long Term Evolution (LTE) has been identified as a good candidate technology for supporting such type of applications - particularly for the non-safety domain. However, a high number of vehicles intermittently reporting their information via LTE can introduce a very high load on the LTE access network. In this context, the use of heterogeneous networking technologies can yield significant offloading of LTE - here, WLAN and Dedicated Short-Range Communication (DSRC) technology can support local data aggregation. In this paper, we propose an on-the-fly distributed clustering algorithm that uses both LTE and DSRC networks in the forwarder selection process. Our results clearly indicate that it is crucial to consider parameters drawn from both networking platforms for selecting the right forwarders. In particular, we show for the first time that relying on the Channel Quality Indicator (CQI) has a substantial impact. We demonstrate that our solution is able to significantly reduce the LTE channel utilization with respect to other state of the art approaches.
http://hdl.handle.net/10993/32716
10.1109/VNC.2016.7835938
98-105

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