This paper proposes a monitoring system that has a number of nodes for monitoring parameters such as co level, poisonous gas, temperature and humidity. A node is designed for data acquisition and another one is designed for data collecting for further analysis. We can create any number of data acquisition nodes with a single collecting node. For interconnecting all these nodes it is possible to have WiFi based IoT as existing. This has a disadvantage that WiFi modem needs to connect to a wider network, so proper working of the whole system is dependent on availability of this network. Here we eliminate this problem by introducing a LoRa which means long range. Using LoRa we can make our own interconnected IoT applications. Although many techniques exist to transfer data from the widely distributed sensors that make up the Internet of Things (IoT) (e.g., using 3G/4G networks or cables), these methods are associated with prohibitively high costs, making them impractical for real-life applications. Recently, several emerging wireless technologies have been proposed to provide long-range communication for IoT sensors. Among these, LoRa has been examined for long-range performance
LoRa (Long Range) is a spread spectrum modulation technique that provides significantly longer-range transfer of data and information with a lower transfer rate than the competing technologies. LoRaWAN is a LPWAN protocol which is based on LoRa modulation and was intended to remotely connect battery operated things to the internet in local, regional or worldwide networks. LoRaWAN protocol uses the unlicensed radio spectrum in the ISM band, such as 433MHz, 868MHz and 915MHz. LoRaWAN network is implemented by using a star network topology and the structure of the network architecture can be divided into two parts, back-end and front-end part. The back-end part is the network server which is used to store the information sent by the sensors while the front-end consists of end devices and a gateway, the gateway is the intermediate device that forwards packets coming from the end devices to the network server. LoRaWAN network is implemented by using a star network topology and the structure of the network architecture can be divided into two parts, back-end and front-end part.
? Monitoring systems without any interconnectivity
? Systems that uses IoT based on WiFi network
? Systems based on RF communication
? This system always needs internet connectivity
? If internet is slow it take some delay to update in cloud
? Accuracy of output is less
? Communication range is low in existing system
? Monitoring surroundings parameters using sensors
? Multimode monitoring system
? LoRa based long range communication
? Multiple sensor node connected to single monitoring node
? It is a cost efficient system
? Accuracy of output is increased
? Long range communication is implemented
? Using IoT in this project is a main advantage, so we can get the status of the system at anyplace in the world
DATA COLLECTING NODE
BLOCK DIAGRAM EXPLANATION
?? Here Raspberry pi is in the sensor node
?? Node MCU is in data node
?? We can use any type of microcontroller or SoC depending on application
?? DHT11 is a two in one sensor that can measure both temperature and humidity
?? MQ135 is used for monitoring different gaseous elements in the air
?? MQ135 is an analog sensor so it needs to be connected to ADC
?? LoRa is connected serially
?? In data collecting node, Node MCU is connected to PC through UART communication
? Raspberry pi
? Node MCU ESP8266
? LoRa module
? Programming platform : Python IDE, Arduino IDE
? Programming language: Python, Embedded C
? Raspberry pi OS: Raspbian stretch
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