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IEEE/ICACT20230203 Question.3 Questioner: mahdi.firoozjaei@uwindsor.ca 2023-02-23 오전 7:27:34	IEEE/ICACT20230203 Answer.3 Answer by Auhor xma@oru.edu 2023-02-23 오전 7:27:34
What about the performance results? Have you checked its computational requirment? Is there any similar method to compare?	We use the Slow vehicle warming application as the test standard in our experiments, achieving a time delay of less than 0.01s and a 99.9% package reception probability. We compare this optimization method with the conventional grid search. According to the results, the Bayesian approach achieves a speedup of nearly seven times. We used a neural network approach to optimize the VANET network in a previous study. However, the method could not perform the optimization search for continuous variables and did not incorporate constraints. So we propose in this paper to use the constrained Bayesian approach to optimize the parameters.

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