scholarly journals A Method to Construct an Indoor Air Pollution Monitoring System Based on a Wireless Sensor Network

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 967 ◽  
Author(s):  
Ahras Naziha ◽  
Li Fu ◽  
Galloua Mohamed Elamine ◽  
Lingling Wang

Wireless Sensors Networks (WSNs) are currently receiving much research interest due to their wide-ranging use is a number of different fields. In the current study, a system based on a WSN is proposed that can monitor indoor air pollution in several public spaces, such as subway stations, offices, schools, and hospitals. The proposed system uses integrated sensors in mobile phones, moving from a stationary nodes model to a mobile nodes model. The main objective of building this system is to provide full coverage of the target area. To achieve this goal, the system is simulated by MATLAB and the following algorithms are applied: Particle Swarm Optimization (PSO) to maximize the coverage in the region of interest (RoI), Voronoi Diagram (VD) to detect holes in the coverage, and finally the Point in Polygon (PiP) algorithm to heal the holes in the coverage. The application of the algorithms mentioned above has been very effective as PSO has increased the coverage rate of the monitoring area to 100%. The VD allowed us to define the exact location of coverage holes whilew the Point in Polygon algorithm allowed us to heal the holes and find the remaining sensors in order to improve network coverage. This enabled us to achieve full coverage of the monitoring area.

Author(s):  
Manoj Gurung

Abstract: Degradation of air quality, like climate change and global warming, has become an all-encompassing existential hazard to humanity and natural life. Exposure to severely polluted air on a regular basis causes pulmonary disorders and contributes to severe allergies and asthma. According to studies, more than 10 million people die each year as a result of irregularities produced directly or indirectly by air pollution. The work of Lelieveld et al. [1] sheds light on the gravity of the problem. It is estimated that by 2050, the worldwide premature mortality from air pollution will exceed 6.6 million fatalities per year (358000 from ozone, the rest from PM 2.5) [1]. As a result, we decided to focus our study on improving indoor air quality. Despite the fact that there are numerous indoor air purifiers on the market, their cost belies their effectiveness, and the effective ones are far too expensive for working-class people to afford [2]. In order to address this issue, we created an automated Internet of Things (IoT) based air filtration system that uses an automated air purifier which is triggered when air quality falls below WHO criteria. Our initiative intends to improve indoor air quality by utilizing the most cost-effective and efficient modules available. Keywords: Indoor Air Pollution, Air Purifier, IAQ, Sharp Dust Sensor GP2Y1010AU0F, IoT, Particulate Matter (PM), HEPA Filter


Currently, the wireless sensor networks are hugely demanded in every field instead of due to its vast applications specifically for the security purposes and for monitoring. Basically, the wireless sensor networks are the infrastructure less networks which consist of mobile nodes that have memory for storage and to process the data. There can be small networks or large networks. These days, due to the advancement of technology, several kinds of new challenges even though the technology change life, offering a lot of facilities. The most common problem in the atmosphere is the pollution and air pollution is hazardous for health. The wireless sensor networks (WSNs) are utilized for controlling and managing the air pollution. In WSN, the routing protocols are playing out a major role for the best communication of nodes to enhance the security in the network. In the present research work, the classification of different routing protocols is discussed in detail. The major routing protocols are SPIN, DD, RR, LEACH, PEGASIS, TEEN, APTEEN, HEED, GAF and so on. All these routing protocol come under different categories as namely as flat, hierarchical, location based and the hybrid. Additionally, a comparison is made to clarify different routing protocols with its relevant merits, demerits and classification. In this way, the current research is being more fascinating to work in the monitoring applications such as for the air pollution monitoring systems.


2016 ◽  
Vol 852 ◽  
pp. 819-825
Author(s):  
U. Dilli Babu ◽  
Nadimpalli Raghukiran

In the modern era, the environmental issues have taken significant toll on human lives. Air pollution across indoor and outdoor environment are sometime dangerous for human health and it needs to be addressed. In the present work, an attempt has been done to develop remotely controllable semi-automated vehicle for air quality analysis. The semi-automated vehicle has been equipped with gas sensor for analyzing air quality in a given target area. Camera has been installed in the vehicle to monitor and navigate the target area, which will help the user to attain an effective path. The semi-automated vehicle is controlled by using remote control device and wireless connection system. The sensor will sense the air quality in the target area and the achieved results will be fed to the user via wireless communication. It makes easy for the user to do air pollution monitoring check and also to prevent the gas poisoning cases from the occurrence.


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