IoT-based adaptive network mechanism for reliable smart farm system

This paper presents an adaptive network mechanism for a smart farm system by using LoRaWAN and IEEE 802.11ac protocols. Generally, the intemet of things (IoT) system for agriculture application is used in an environment where significant interferences can occur. These interferences can disrupt the network performance of the system. In this paper, an adaptive network mechanism is designed to improve the network performance of the system, in order to achieve a more reliable smart farm system. Specifically, the proposed adaptive network mechanism is implemented in the application layer. The system has the ability to adjust a protocol based on the network condition. For instance, the IEEE 802.11ac is suitable for transmitting data which require high data rate such as image or video. On contrary, the LoRaWAN protocol is suitable for sending data that only have small data packets such as sensor reading data. An adaptive mechanism, which combines advantages of both protocols, leads the system to achieve reliability while performing the monitoring task. The system has been evaluated for the real deployment scenario. The result demonstrates that the proposed system brings the reliability in terms of average latency and total gathered number of sensors' data.