RSSI Measurement with Channel Model Estimating for IoT Wide Range Localization using LoRa Communication

Abstract

Due to the technology of the Internet of Things (IoT) is rising in recent years, there are many popular applications in different fields. The development of network technology is growing for the trend toward wider coverage range and lower power consumption. LoRa system is one of the most popular IoT communication methods in Low Power Wide Area Network (LPWAN) as an auxiliary role of IoT to assist the transmission between devices in various applications. In order to provide more received information for the smart applications of IoT, the positioning technology to obtain the location information of the devices is necessary. However, GPS singles consumes too much energy for IOT devices, they are conflict to each. In this paper, we proposed a channel model estimating method to improve the conventional RSSI based distance measurement way in LoRa system accuracy up to same level of TDOA based system in wide rang localization applications.