Hybrid Data Collection System for IoT Based Solar Powered Drip Irrigation system using LoRa WAN

Outdoor data communication using the internet in Internet of Things (IoT) applications has a risk of interference caused by environmental conditions. Providing an access point for outdoor applications requires more electricity. The proposed research aimed to optimize data communication between local storage, internet and wireless sensor network (WSN). A hybrid data collection system for an IoT-based solar drip irrigation system using LoRa WAN. The Hybrid system in this study consists of a WAN for local control and data collection using LoRa and uploading to the internet. Apart from storing data in indoor and internet local storage, the system allows local users such as farmers to access a web-based user interface without internet. The WSN system in research uses nRF from previous studies. The blackbox testing shows valid results for nRF, LoRa and HTTP GET data communication series to local and online web server interfaces. The results of a data communication loop programming produces a total average time of 2469ms and a delay of 3000ms on outdoor devices. The indoor device uses 24272ms and a delay of 5000ms for one loop. The Quality of Service (QoS) evaluation showed that the lowest PDR archived by nRF with 97.285%. In other side the longest delay is archived by LoRa with 936ms. Through solar power testing, the overall QoS decreases when the light intensity is below 101 lux, and the solar panel voltage is below 0.121v. But the decrease doesn't seem significant, especially in LoRa with the lowest value of 98.378% and 934ms delay. Meanwhile, the lowest delay was achieved by nRF with 247.6ms. The lowest PDR was archieved by HTTP GET with 96.7638%. Meanwhile, the longest delay was archieved by LoRa 876.6ms.