Evaluate Link Quality based on ISSA-BRF in Wireless Network
Y. Wang, Zekun Jia, Ruimeng Gan, Jin Li, Zhe Xiao · 2024
This paper aims to evaluate the link quality from the perspective of received signal strength indication (RSSI) in wireless network. In order to exhibit the link state, an index vector is established using associated RSSI, firstly. Furthermore, a balanced random forest based on improved sparrow search algorithm (ISSA-BRF) is proposed to perform link quality evaluation (LQE), where the hyperparameter optimization problem in BRF can be addressed with ISSA method. Moreover, the sparrow location and search space is revised to enhance the global search ability and convergence speed, respectively. Finally, the effectiveness of the proposed method is demonstrated through numerical experiments.