BRAIN-F: Beacon Rate Adaption Based on Fuzzy Logic in Vehicular Ad Hoc Network

• 主要な著者: Soleymani, S. A., Abdullah, A. H., Anisi, M. H., Altameem, A., Hasan, W. H., Goudarzi, S., Razak, Z. B., Noor, N. M.
• フォーマット: 論文
• 出版事項: Springer-Verlag 2017
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://eprints.utm.my/id/eprint/80555/; http://dx.doi.org/10.1007%2Fs40815-016-0171-3

Beacon rate adaption is a way to cope with congestion of the wireless link and it consequently decreases the beacon drop rate and the inaccuracy of information of each vehicle in the network. In a vehicular environment, the beacon rate adjustment is strongly dependent on the traffic condition. Due t...