Abstract
Today's advanced simulators facilitate thorough studies on Vehicular Ad hoc NETworks (VANETs). However the choice of the physical layer model in such simulators is a crucial issue that impacts the results. A solution to this challenge might be found with a hybrid model. In this paper, we propose a semi-deterministic channel propagation model for VANETs called UM-CRT. It is based on CRT (Communication Ray Tracer) and SCME—UM (Spatial Channel Model Extended—Urban Micro) which are, respectively, a deterministic channel simulator and a statistical channel model. It uses a process which adjusts the statistical model using relevant parameters obtained from the deterministic simulator. To evaluate realistic VANET transmissions, we have integrated our hybrid model in fully compliant 802.11 p and 802.11 n physical layers. This framework is then used with the NS-2 network simulator. Our simulation results show that UM-CRT is adapted for VANETs simulations in urban areas as it gives a good approximation of realistic channel propagation mechanisms while improving significantly simulation time.
Highlights
Vehicular Ad hoc NETworks (VANETs) are a very promising research area interesting the scientific community, car manufacturers, and mobile telephony operators
This can be explained by the principle used in the model which consists in reading a cache containing Communication Ray Tracer (CRT) and Spatial Channel Model Extended (SCME)-Urban Microcell (UM) impulse responses which are used for Bit Error Rate (BER) computations
In this paper we have presented UM-CRT, a semideterministic channel propagation model for VANETs
Summary
Vehicular Ad hoc NETworks (VANETs) are a very promising research area interesting the scientific community, car manufacturers, and mobile telephony operators. One of the major issues when using simulators for VANETs concerns the vehicular environment and the realistic modeling of the wireless propagation channel. One finds research works presenting deterministic channel models [6, 7] which are based on ray-tracing or ray-launching methods which allow a realistic modeling of the channel. These models require very high processing times. Dhoutaut et al [8] propose a propagation model based on Markov chains elements and real world experiments which is able to generate packet losses in a very realistic way.
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