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Performance study and optimization of multi-channel allocation in VANET under physical channel model

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Abstract

Vehicular networking has a promising potential as a communication medium to relay the information related with the road safety, traffic efficiency and infotainment and thus many researches are conducted in this area. This research presents a study of multi-channel allocation in orthogonal frequency multiple access vehicular ad hoc network (VANET) under physical channel model. The performance of channel allocation using the altered number of channels allocated per vehicle is observed. An optimization method for channel allocation is also presented. The optimization method is based on meta-heuristic approach namely bacterial foraging optimization algorithm (DBFO). The sets of channels allocated to vehicles are represented by the position of bacterium. To improve the performance of channel allocation, the signal to interference and noise ratio (SINR) of vehicles is used as the objective function of DBFO. Hence, DBFO is utilized to find the appropriate channels for vehicles so that the SINR and the throughput of vehicles can be increased. The performances of multi-channel allocation in VANET and the proposed optimization method are observed through the extensive simulations. The results of the simulations show that increasing the number of channels allocated per vehicle can decrease the SINR average since the interference level increases. Meanwhile the vehicle throughput increases since the more channels allocated to vehicles means the more bandwidth utilized.

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Authors and Affiliations

  1. Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Jalan Grafika No. 2, Yogyakarta, 55281, Indonesia

    Selo Sulistyo & Sahirul Alam

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  1. Selo Sulistyo
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  2. Sahirul Alam
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Correspondence to Selo Sulistyo.

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Sulistyo, S., Alam, S. Performance study and optimization of multi-channel allocation in VANET under physical channel model. Wireless Netw 25, 4785–4797 (2019). https://doi.org/10.1007/s11276-018-1770-8

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