Abstract | ||
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This paper proposes transmission power control for vehicular ad hoc network (VANET) using fuzzy system. Despite the potential advantages of VANET especially for safety and intelligent transportation system, some challenges are discovered during the implementation of VANET. Main challenges emerge because of the dynamic environment and high mobility of vehicle. Furthermore, the interference due to the shared-spectrum usage can significantly decrease the quality of signal. Fuzzy system is implemented to control the transmission power based on the signal to interference and noise ratio (SINR) difference with the targeted value of the receiver vehicle and the interference inflicted by the transmitter vehicle. The algorithm of fuzzy power control for VANET is proposed, and the performance is evaluated through the simulations. The results of simulations show that the proposed algorithm can increase SINR of vehicles especially the vehicles with SINR value below the target. Thus, the average of SINR and the throughput of the system can be increased as well. |
Year | DOI | Venue |
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2018 | 10.1002/dac.3579 | INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS |
Keywords | Field | DocType |
fuzzy system, power control, signal to interference and noise ratio, vehicular ad hoc network | Computer science,Fuzzy logic,Power control,Computer network,Real-time computing,Throughput,Vehicular ad hoc network | Journal |
Volume | Issue | ISSN |
31 | 10 | 1074-5351 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Selo Sulistyo | 1 | 12 | 6.38 |
Sahirul Alam | 2 | 0 | 1.69 |