Design and Implementation of WSN Based Indoor Environmental Monitoring System Using Multiple Sensor Data Acquisition with IoT Integration

Indoor environment condition monitoring is more focused in recent years, and ubiquitous computing is surrounding us with a convenient and comfortable information environment that is combining physical and computational infrastructures into an integrated environment. This environment is featuring an...

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Bibliographic Details
Main Authors: Hossain, Nafize Ishtiaque, Al Mahmud Hossain Al Hadi, Md, Jamil, Md. Hasibul
Format: Conference Proceeding
Language:English
Subjects:
AES algorithm
barometric pressure
gas concentration
Humidity
IoT
luminance
Mathematical model
Monitoring
RSSI
temperature
Temperature measurement
Temperature sensors
Wireless sensor networks
WSN
Zigbee
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Summary:Indoor environment condition monitoring is more focused in recent years, and ubiquitous computing is surrounding us with a convenient and comfortable information environment that is combining physical and computational infrastructures into an integrated environment. This environment is featuring an explosion of hundreds or thousands of computing devices and sensors that provide new functionality, offer specialized services, and boost productivity. However, for different situations and different infrastructure, the environment condition monitoring parameter varies remarkably. In the case of previously developed systems, three to four environmental parameters were analyzed, and data was not available on a remote device. The observation of sequential change in monitoring parameters is also crucial for many applications. In this paper, five independent parameters, i.e., temperature, barometric pressure, humidity, luminance, and gas concentration, are measured independently in each WSN node. The data is encrypted via the AES algorithm on the router side and decrypted on the coordinator side. After the data is received by the coordinator node of WSN and send to the IoT server where the real-time data is plotted with respect to time, the data can be monitored for analysis from the remote android device since a dedicated android application is developed for this. The WSN data transfer efficiency is measured with respect to Received Signal Strength Intensity (RSSI). Even though the power consumption of Zigbee is about 2mW, at 600m distance, the value of RSSI is found -69.17dBm.
ISSN:2642-6102
DOI:10.1109/TENSYMP50017.2020.9230752