Experimental Analysis of LoRa CSS Wireless Transmission Characteristics for Forestry Monitoring and Sensing

Abstract

Wireless sensor networks play an important part in forestry monitoring and sensing. LoRa low-power wide area network technology is based on CSS (Chirp Spread Spectrum) and provides new technical means for forestry wireless monitoring, sensing and other forestry applications. For the needs of the forestry application, the experimental analysis about the wireless transmission characteristics of LoRa in forest lands is conducted. Various factors such as different antenna heights and different data packet lengths, which had important influence on transmission characteristics in forest, are analyzed. The research results show that LoRa technology had a good transmission effect among forest and is expected to be candidate for forestry monitoring and sensing in the future.