Low Energy Transmission of LiDAR Data Based on Preference Random Walk Energy Balance Algorithm
To optimize the transmission performance of LiDAR data,this paper design a low energy transmission method.The fast density peaks clustering method is used to segment noise points in LiDAR data and complete data clustering processing.The preference random walk energy balance algorithm is used to standardize random walk data.By decomposing the transmis-sion range of LiDAR data,a data transmission method is designed to realize the low energy transmission of LiDAR data.The experimental results show that the energy consumption of LiDAR data transmission is lower in three different weather condi-tions,i.e.,sunny,rainy and snowy,and haze.When transmitting LiDAR data,it can effectively reduce the average node hops and is less affected by data disorder,which proves that the proposed method has higher practical application value.
LiDARlow energy transmissionpreference random walk energy balance algorithmfast density peaks clustering
万方数据
维普
