An optimal path selection in a clustered wireless sensor network environment with swarm intelligence-based data aggregation for air pollution monitoring system

2018 ◽  
Vol 10 (4) ◽  
pp. 378
Author(s):  
N. Jaisankar ◽  
Murali Subramanian
Keyword(s):  
Air Pollution ◽  
Wireless Sensor Network ◽  
Swarm Intelligence ◽  
Sensor Network ◽  
Data Aggregation ◽  
Optimal Path ◽  
Path Selection ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Air Pollution Monitoring

scholarly journals Implementation of Workshop Air Pollution Monitoring System Based On Wireless Sensor Network

2019 ◽  
pp. 61-71
Keyword(s):  
Air Pollution ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Welding Process ◽  
Civil Defense ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Raspberry Pi ◽  
Air Pollution Monitoring

Workshop contamination can lead to changes in the characteristics of the air. Welding process for example inside the workshop will generate different pollutants just like fume and gases. These gases may threat the environment. Also the direct exposure of these gases by people inside the workshop may be considered as a risk on their health. For all reasons mentioned above air pollution monitoring system is important issue to decrease the risk of low level of health. This paper introduces the implementation of wireless sensor network to monitor a workshop air pollution. The proposed system prototype contains a set of gas sensors (CO, H2, NH3, Butane, Propane, Ethanol and NO2) which are deployed on stack and infrastructure of Wireless sensor Network. These sensors are calibrated using appropriate calibration technologies. They are controlled by ARDUINO based microcontroller. Also there is the main server which Installed on raspberry pi 3 and contains the main database of the system which supports real time management strategies by using the web interface to monitor the air pollution in form of numbers and charts. Sensors which controlled by ARDUINO platform are connected to the server using the wireless technology (Wi-Fi) and the communication is done by using Message Queuing Telemetry Transport protocol (MQTT).When the level of Carbon Monoxide gas is above the threshold the system will send an alert email to the department of the civil defense. The system is checked and tested in the training workshops of University of Technology to measure the levels of harmful gases which may harm the people in the workshops.

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