ISSN (Online) : 2456 - 0774

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ISSN (Online) 2456 - 0774



Abstract: The fast rise of infrastructure and industrial plants has resulted in environmental challenges such as pollution (air, water, noise), climate change, and malfunctioning, all of which have a significant impact on the need for operationally adaptive, efficient, inexpensive, and smart monitoring systems. Smart Sensor Networks are an emerging subject of research in this context, which combines numerous issues in computer science, wireless communication, and electronics. In this research, a method for monitoring air and noise pollution levels in an industrial setting or a specific area of interest is proposed using a wireless embedded computing system. Internet of Things (IoT) technology is incorporated in the form of a solution that is the result of combining the fields of computer science and electronics. Sensing devices are attached to the embedded computing system in this scenario to detect changes in parameters such as noise and air pollution levels from their typical levels. This paradigm is adaptable and distributive for any infrastructure setting that requires constant monitoring, regulating, and behaviour analysis. The proposed model's functionality is assessed using a prototype implementation that includes an AVR UNO board, sensor devices, and MATLAB with AVR hardware support package.The implementation is checked against typical behaviour levels or supplied specifications for two or three characteristics such as noise, CO, and radiation levels, which provide a monitoring over pollution control to make the environment smart and ecofriendly. The primary goal of the Air Quality Planning and Standards is to maintain air quality. The degree of pollution in the air can be determined by determining the pollutants present in that area's air, such as humidity, temperature, dust, CO, and smoke. This idea is based on IoT (Internet of Things), a new field in which all gadgets are connected to a self-created channel (private channel). The channel is used to view weather parameters with a unique API key for each user's channel. To gain access, each channel contains both Read and Write API keys. The Xmega 2560 is connected to a Wi-Fi module, as well as temperature, humidity, gas, and dust sensors. The user is prompted to enter the channel's API key. The key is read by the ESP8266-01 and sent to the Xmega 2560. When the key is matched, data transfer between the channel and the microcontroller can begin. Through AT Commands, the module is connected to the Wi-FiKeywords- Xmega, Xbee Nodes,

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