Title :
FINE: Frequency-divided instantaneous neighbors estimation system in vehicular networks
Author :
Linghe Kong ; Xi Chen ; Xue Liu ; Lei Rao
Author_Institution :
McGill Univ., Montreal, QC, Canada
Abstract :
In this paper, we present a novel Frequency-divided Instantaneous Neighbors Estimation (FINE) system specifically designed for density estimation in Dedicated Short Range Communication (DSRC) based vehicular networks. A large amount of vehicular applications such as navigation, traffic control, and data dissemination substantially rely on the density information. Recent works pay great attention to obtain the real-time density information and reduce the occupation time of DSRC channel. The state-of-the-art approach is the Framed Slotted ALOHA (FSA) framework, which benefits from its fine-grained time division design. However, FSA considers only time resource and is unaware of the frequency resource in DSRC. For further accelerating the density acquisition, we propose a frequency-divided approach. The core idea of FINE is to resort fine-grained channel division for parallel neighbors counting. Extensive simulations are conducted to evaluate FINE. The results demonstrate that FINE significantly outperforms existing methods. In a typical dense scenario, FINE reduces the time cost from 2 ms (FSA) to 50 μs, while maintains the accuracy at the same level as FSA.
Keywords :
access protocols; frequency estimation; vehicular ad hoc networks; wireless channels; DSRC channel; FINE system; FSA framework; dedicated short range communication; density estimation; fine-grained channel division; fine-grained time division design; framed slotted ALOHA framework; frequency resource; frequency-divided instantaneous neighbor estimation system; parallel neighbors counting; state-of-the-art approach; time resource; vehicular applications; vehicular networks; Accuracy; Bandwidth; Estimation; Frequency-domain analysis; Real-time systems; Subspace constraints; Vehicles;
Conference_Titel :
Pervasive Computing and Communications (PerCom), 2015 IEEE International Conference on
Conference_Location :
St. Louis, MO
DOI :
10.1109/PERCOM.2015.7146524