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The use of Internet of Things (IoT) is becoming increasingly common in agribusiness to increase food production capacity for the expanding global population. Recently, low-power wide-area networks (LPWANs) have been used in the development of IoT applications that require low power consumption and low data transmission rates. LoRaWAN is considered the most suitable communication network for LPWANs for IoT applications in smart agriculture. In this paper, we present an in-depth study of the performance of the LoRaWAN communication network in the context of an IoT application for a pilot farm. We consider several scenarios and analyze simulation results by using Network Simulator 3. We then propose a mathematical model that precisely predicts the successful packet delivery rate for this type of network considering the number of nodes and the transmission interval duration. Finally, we validate the results of our model by comparing them with other simulation results under different scenarios.

Carbon monoxide (CO) is a particularly toxic gas, and the CO poisoning is the leading cause of fatal poisoning in the world. One solution to deal with this dangerous gas is to exploit the advantages given to us by the applications and the technology advances in internet of things (IoT). In this context, we propose to integrate carbon monoxide detection objects to the internet, as part of civil protection intervention applications in case of detection of carbon monoxide to avoid poisoning. To do this, we propose a typical IoT architecture to manage the alerts sent to civil protection in the event of detection of carbon monoxide (CO). The architecture is based on the Message Queue Telemetry Transport (MQTT) communication protocol. Finally, we present the realization of our Test-bed and its components to integrate the object of detection of carbon monoxide on the internet.