التفاصيل البيبلوغرافية
| العنوان: |
A Method to Construct an Indoor Air Pollution Monitoring System Based on a Wireless Sensor Network. |
| المؤلفون: |
Naziha A; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. naz-aero@hotmail.com., Fu L; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. fuli@buaa.edu.cn., Mohamed Elamine G; School of Computer Science and Engineering, Beihang University, Beijing 100191, China. galloua.ma@hotmail.fr., Wang L; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. wangling0908@buaa.edu.cn. |
| المصدر: |
Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 Feb 25; Vol. 19 (4). Date of Electronic Publication: 2019 Feb 25. |
| نوع المنشور: |
Journal Article |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: |
Original Publication: Basel, Switzerland : MDPI, c2000- |
| مستخلص: |
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. |
| References: |
Int J Environ Res Public Health. 2016 Nov 17;13(11):. (PMID: 27869682) |
| معلومات مُعتمدة: |
000000 Algerian Space Agency, China Great Wall Industry Corporation; 61601010 National Natural Foundation of China |
| فهرسة مساهمة: |
Keywords: coverage; coverage hole; point in polygon; region of interest; voronoi diagram; wireless sensor network |
| تواريخ الأحداث: |
Date Created: 20190303 Date Completed: 20190304 Latest Revision: 20200225 |
| رمز التحديث: |
20240628 |
| مُعرف محوري في PubMed: |
PMC6412757 |
| DOI: |
10.3390/s19040967 |
| PMID: |
30823537 |
| قاعدة البيانات: |
MEDLINE |
Full Text Finder