Paper Info
Title
Performance study and optimization of multi-channel allocation in VANET under physical channel model
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.
Year
DOI
Venue
2019
10.1007/s11276-018-1770-8
Wireless Networks
Keywords
Field
DocType
Vehicular ad hoc network, Orthogonal frequency multiple access, Channel allocation, Discrete bacterial foraging optimization
Channel models,Computer science,Computer network,Communication channel,Bandwidth (signal processing),Interference (wave propagation),Throughput,Channel allocation schemes,Vehicular ad hoc network,Relay
Journal
Volume
Issue
ISSN
25
8
1572-8196
Citations 
PageRank 
References 
0
0.34
9
Authors
2
Name
Order
Citations
PageRank
Selo Sulistyo1126.38
Sahirul Alam201.69