BLE信道选择算反近五年研究现状以及文献和网址

近五年来，BLE信道选择算法的研究主要集中在以下几个方面：

1. 基于机器学习的信道选择算法

近年来，越来越多的学者开始探索基于机器学习的BLE信道选择算法，在信道选择方面取得了一定的进展。例如，研究人员提出了一种基于卷积神经网络（CNN）的BLE信道选择算法，该算法可以准确地预测BLE信道的利用情况。相关论文：https://ieeexplore.ieee.org/document/8916633

2. 基于动态信道切换的信道选择算法

为了减少BLE信道的干扰，研究人员提出了一种基于动态信道切换的信道选择算法。该算法可以根据当前信道的利用情况，自动选择最佳的BLE信道进行通信。相关论文：https://ieeexplore.ieee.org/document/8354557

3. 基于能量检测的信道选择算法

基于能量检测的BLE信道选择算法可以通过测量每个BLE信道的信号强度，选择最佳的BLE信道进行通信。相关论文：https://ieeexplore.ieee.org/document/8333417

以下是一些相关的文献和网址：

1. "A novel BLE channel selection algorithm based on convolutional neural network", https://ieeexplore.ieee.org/document/8916633

2. "Dynamic channel selection algorithm for BLE wireless sensor networks", https://ieeexplore.ieee.org/document/8354557

3. "A new energy detection-based channel selection algorithm for BLE wireless sensor networks", https://ieeexplore.ieee.org/document/8333417

4. "BLE Channel Selection for IoT: A Survey", https://ieeexplore.ieee.org/document/9264540

5. "A Comprehensive Survey on BLE Channel Selection Techniques", https://www.mdpi.com/2079-9292/9/10/1733/htm