MOEMS for environmental applications: real-time air pollution monitoring system using chemo-optical sensor

2005 ◽  
Author(s):  
Mira Caldararu ◽  
A. Vasile ◽  
F. Craciunoiu ◽  
Dana Cristea ◽  
Anca Paraschiv ◽  
...  
Keyword(s):  
Air Pollution ◽  
Real Time ◽  
Monitoring System ◽  
Optical Sensor ◽  
Pollution Monitoring ◽  
Environmental Applications ◽  
Air Pollution Monitoring

scholarly journals REAL TIME WIRELESS AIR POLLUTION MONITORING SYSTEM

2011 ◽  
Vol 02 (02) ◽  
pp. 370-375 ◽  
Author(s):  
Raja Vara Prasad Y ◽  
◽  
Mirza Sami Baig ◽  
Rahul K Mishra ◽  
Rajalakshmi P ◽  
...  
Keyword(s):  
Air Pollution ◽  
Real Time ◽  
Monitoring System ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring

A CLUSTERED WIRELESS SENSOR NETWORK BASED AIR POLLUTION MONITORING SYSTEM WITH SWARM INTELLIGENCE BASED DATA AGGREGATION

2016 ◽  
Vol 78 (7) ◽  
Author(s):  
Murali, S. ◽  
Jaisankar, N.
Keyword(s):  
Air Pollution ◽  
Real Time ◽  
Monitoring System ◽  
Data Aggregation ◽  
Hybrid Genetic Algorithm ◽  
Sensor Nodes ◽  
Pollution Monitoring ◽  
Coarse Grained ◽  
Communication Overhead ◽  
Air Pollution Monitoring

Air pollution has significant influence on the concentration of constituents in the atmosphere leading to effects like global warming and acid rains. The disproportion of the constituents in the air or atmosphere is monitored using the air pollution monitoring system. The classical air pollution monitoring system uses the costly instruments for monitoring the environment at fixed locations. Most of the traditional monitoring system is coarse- grained and costlier during the real time implementation. Some system have problems such as communication overhead, time and power consuming. The efficient clustering based data aggregation is proposed in this paper for reducing the communication overhead and efficiently monitoring the environment. The sensor nodes in the networks are grouped into clusters and the cluster head is selected using the optimization algorithm such as firefly algorithm. The data aggregation using the hybrid genetic algorithm is also proposed in this paper for efficient data transmission by reducing the communication overhead. The simulation results shows that the performance of the proposed methodology is better than the existing one and the proposed system collects the reliable source of real time fine-grain pollution data.

IoT-Based Real Time Air Pollution Monitoring System

2019 ◽  
Vol 11 (4) ◽  
pp. 28-41 ◽  
Author(s):  
Cynthia J. ◽  
Saroja M.N. ◽  
Parveen Sultana ◽  
J. Senthil
Keyword(s):  
Air Pollution ◽  
Real Time ◽  
Monitoring System ◽  
Geographical Area ◽  
Ambient Air ◽  
Pollution Monitoring ◽  
Pollution Level ◽  
Air Pollution Monitoring ◽  
Pollution Levels ◽  
Major Factors

Humans can be adversely affected by exposure to air pollutants in ambient air. Hence, health-based standards and objectives for a number of pollutants in the air are set by each country. Detection and measurement of contents of the atmosphere are becoming increasingly important. Careful planning of measurements is essential. One of the major factors that influence the representativeness of data collected is the location of monitoring stations. The planning and setting up of a monitoring station are complex and incurs a huge expenditure. An IoT-based real time air pollution monitoring system is proposed to monitor the pollution levels of various pollutants in Coimbatore city. The geographical area is classified as industrial, residential and traffic zones. This article proposes an IoT system that could be deployed at any location and store the measured value in a cloud database, perform pollution analysis, and display the pollution level at any given location.

IoT Enabled an Open Framework for Air Pollution Monitoring System

2020 ◽  
Author(s):  
B.H. Sudantha ◽  
Manchanayaka MALSK ◽  
Nilantha Premakumara ◽  
Chamani Shiranthika ◽  
C. Premachandra ◽  
...  
Keyword(s):  
Air Pollution ◽  
Monitoring System ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring ◽  
Open Framework
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