Internet of Things (IoT) is a developing concept that introduces the network of physical sensors which are interconnected to each other. Some sensors are wirelessly connected among themselves and to the internet. Currently, IoT applications demand substantial requirements in terms of Radio Access Network (RAN) such as long-range outdoor coverage, environmental factors, obstructions, interference, power consumption, and many others. Also, the current wireless technologies are not able to satisfy all these requirements simultaneously. Therefore, there is no single wireless standard that would predominate the IoT. However, one relevant wireless radio solution to IoT is known as Long Range Wide Area Network (LoRaWAN), which is one of the Low Power Wide Area Network (LPWAN) technologies. LPWAN has appeared as a significant solution to offer advantages such as long-range coverage connectivity with low power consumption, an unlicensed spectrum, and affordability. Most likely LoRa with the inherent long-range coverage and low power consumption features will become the “go-to” technology for IoT applications. For that reason, the proposed research entails the performance evaluation of LoRa IoT application under different scenarios at the University of the North Florida campus. Each scenario includes dynamic and static tests that focus on performance evaluation of the LoRaWAN physical-layer, such as different configurations, coverage range, strength and quality indicators (RSSI and SNR respectively), test schedules, and environmental factors. This application will involve connecting to different IoT servers in the cloud, such as The Things Network (TTN), Amazon Web Services (AWS), integration with Cayenne
