scholarly journals A Review on Various IOT Analytics Techniques for Air Pollution Detection in Fog Computing

2017 ◽  
Vol 169 (2) ◽  
pp. 1-4
Author(s):  
Ranjit Kaur ◽  
Pankaj Deep
Keyword(s):  
Air Pollution ◽  
Fog Computing ◽  
Pollution Detection

scholarly journals A Facility Location Model for Air Pollution Detection

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
G. Lancia ◽  
F. Rinaldi ◽  
P. Serafini
Keyword(s):  
Genetic Algorithm ◽  
Air Pollution ◽  
Air Quality ◽  
Mathematical Models ◽  
Facility Location ◽  
Large City ◽  
Location Model ◽  
Practical Algorithms ◽  
Pollution Detection ◽  
The City

We describe mathematical models and practical algorithms for a problem concerned with monitoring the air pollution in a large city. We have worked on this problem within a project for assessing the air quality in the city of Rome by placing a certain number of sensors on some of the city buses. We cast the problem as a facility location model. By reducing the large number of data variables and constraints, we were able to solve to optimality the resulting MILP model within minutes. Furthermore, we designed a genetic algorithm whose solutions were on average very close to the optimal ones. In our computational experiments we studied the placement of sensors on 187 candidate bus routes. We considered the coverage provided by 10 up to 60 sensors.

Synergistic path planning of multi-UAVs for air pollution detection of ships in ports

2020 ◽  
Vol 144 ◽  
pp. 102128
Author(s):  
Lixin Shen ◽  
Yaodong Wang ◽  
Kunpeng Liu ◽  
Zaili Yang ◽  
Xiaowen Shi ◽  
...  
Keyword(s):  
Air Pollution ◽  
Path Planning ◽  
Pollution Detection
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