Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communications
Liu, K, Lee, VCS, Son, SH, Ng, JKY, Cao, J, Zhang, H
Abstract
Liu, K, Lee, VCS, Son, SH, Ng, JKY, Cao, J, Zhang, H
Abstract
Current research activities and standardization efforts in intelligent transportation systems (ITS) have mainly focused around the deployment of radio frequency (RF)-based communication techniques for vehicular networking. Considering the wide deployment of light emitting diodes (LEDs) both in automotive lighting and roadside infrastructure, visible light communication (VLC) has emerged as a potential complementary technology for both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. VLC is based on the principle of modulating LEDs at very high frequencies that are not noticeable by the human eye. Recognizing the economic potential of VLC technology, the IEEE 802.15.13 Task Group has been preparing a new standard on VLC. In this chapter, we explore the potential usage of the IEEE 802.15.13 standard for vehicular networks and evaluate its performance for V2V communications through Monte Carlo simulations under the consideration of channel model obtained by experimental results.
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Current research activities and standardization efforts in intelligent transportation systems (ITS) have mainly focused around the deployment of radio frequency (RF)-based communication techniques for vehicular networking. Considering the wide deployment of light emitting diodes (LEDs) both in automotive lighting and roadside infrastructure, visible light communication (VLC) has emerged as a potential complementary technology for both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. VLC is based on the principle of modulating LEDs at very high frequencies that are not noticeable by the human eye. Recognizing the economic potential of VLC technology, the IEEE 802.15.13 Task Group has been preparing a new standard on VLC. In this chapter, we explore the potential usage of the IEEE 802.15.13 standard for vehicular networks and evaluate its performance for V2V communications through Monte Carlo simulations under the consideration of channel model obtained by experimental results.
Key concepts: Computer science