Performance Prediction Analysis Of LoRa IoT Wireless Communication Technology

With the vigorous development of the Internet of Things,traditional short distance communication technologies have some shortcomings.Low Power Wide Area Network(LPWAN)emerges requiring to solve the current problems.As a representative technology of LPWAN,LoRa(Long Range)is a long distance,efficient and energy saving wireless communication technology.It can be independently designed and applied in many industries according to the needs of users.The performance of LoRa is related to the hardware configuration.In order to improve the performance and data transmission quality of LoRa,it is necessary to configure the parameters of LoRa physical layer reasonably in the actual deployment environmen.In this paper,the development status of the Internet of Things and LoRa performance analysis are fully studied.Based on the existing communication performance analysis,LoRa performance is analyzed through exploratory data analysis(EDA)methods to construct the relationship between hardware parameters and receiving data.In this paper,the LoRa performance research is mainly focused on the signal to noise ratio(SNR)and received signal strength indication(RSSI).Firstly,according to the requirement analysis,a LoRa performance testing scheme is proposed.we designed LoRa testing hardware and software,and two kinds of line of sight testing environments are selected.Secondly,according to two kinds of test environments,data is preprocessed by EDA,and then decision tree and support vector machine are used to construct the model respectively.Two prediction models establish the relationship between configuration parameters and SNR or RSSI respectively for optimizing LoRa performance.Finally,two kinds of prediction models are evaluated.The prediction accuracy is very high.In the corresponding test environment,both of them achieve the purpose of improving LoRa performance by setting relevant configuration parameters.Through the two kinds of prediction models,configuration parameters of hardware can be correctly set in the corresponding environment to improve LoRa communication quality.With the improve of LoRa performance,LoRa devices can be widely used.