Synthesizing Vehicle-to-Vehicle Communication Trace for VANET Research
Feng Lv, Hongzi Zhu, Shan Chang, Mianxiong Dong
Abstract
Feng Lv, Hongzi Zhu, Shan Chang, Mianxiong Dong
Abstract
IEEE 802.11p based Dedicated Short Range Communication (DSRC) has been considered as a promising wireless technology for enhancing road safety and efficiency. However, there is lack of deep understanding about how IEEE 802.11p performs for vehicle-to- vehicle (V2V) communications in urban environments. In this demo paper, we first introduce the statistical analysis results on V2V communication performance, based on a large volume of real-world measurement trace collected in Shanghai city. With the key insights observed in our experiments, we propose a novel scheme to synthesize V2V communication traces which can be of great value for VANET-related research, such as network protocol design and simulations.
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IEEE 802.11p based Dedicated Short Range Communication (DSRC) has been considered as a promising wireless technology for enhancing road safety and efficiency. However, there is lack of deep understanding about how IEEE 802.11p performs for vehicle-to- vehicle (V2V) communications in urban environments. In this demo paper, we first introduce the statistical analysis results on V2V communication performance, based on a large volume of real-world measurement trace collected in Shanghai city. With the key insights observed in our experiments, we propose a novel scheme to synthesize V2V communication traces which can be of great value for VANET-related research, such as network protocol design and simulations.
Key concepts: Dedicated short-range communications, Vehicular ad hoc network, Computer science, TRACE (psycholinguistics), Vehicular communication systems, Vehicle-to-vehicle, IEEE 802.11p, Wireless