Task Grid-Based Urban Environmental Information Release Mechanism for Mobile Crowd Sensing
With the increased awareness of environmental protection, people have higher requirements for the accuracy of environmental information of surrounding life. The current monitoring of urban environmental information mainly comes from local environmental weather stations. Although the monitoring equip...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/1738660 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832562074564165632 |
|---|---|
| author | Zhenwei Chen Yang Lu Zusong Li Xiancun Zhou |
| author_facet | Zhenwei Chen Yang Lu Zusong Li Xiancun Zhou |
| author_sort | Zhenwei Chen |
| collection | DOAJ |
| description | With the increased awareness of environmental protection, people have higher requirements for the accuracy of environmental information of surrounding life. The current monitoring of urban environmental information mainly comes from local environmental weather stations. Although the monitoring equipment of environmental weather stations is better than personal monitoring equipment, the monitoring equipment of weather monitoring stations is too expensive and only suitable for large-scale coarse-grained monitoring. Because the environmental information of a city is affected by factors such as landforms, buildings, rivers, factories, population density, and traffic flow, there are great differences in the environmental information of different areas in a city. Therefore, this study proposes a method that can be used for small-scale and fine-grained environmental information monitoring: the task grid-based urban environmental information release mechanism for mobile crowd sensing (MCS). Through this mechanism, the monitoring area is divided into different task grids according to the characteristics of the area, and the environmental information is sensed by mobile crowd sensing. For the sensing data, through an efficient data fusion algorithm designed in this study, the sensing information is fused to obtain the fine-grained environmental information of different task grids in the area. Through the use of this mechanism, differentiated environmental information can be provided to users in different areas of the city. In a simulation, this mechanism showed higher information accuracy than traditional information release methods. Thus, the mechanism is scientific and has good application value. |
| format | Article |
| id | doaj-art-be3aaf59a7064d0bbae84cdaf4b92c5f |
| institution | Kabale University |
| issn | 2090-0155 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-be3aaf59a7064d0bbae84cdaf4b92c5f2025-02-03T01:23:34ZengWileyJournal of Electrical and Computer Engineering2090-01552022-01-01202210.1155/2022/1738660Task Grid-Based Urban Environmental Information Release Mechanism for Mobile Crowd SensingZhenwei Chen0Yang Lu1Zusong Li2Xiancun Zhou3Faculty of Electronic and Information EngineeringInstitute of Distributed Intelligence and Internet of ThingsFaculty of Electronic and Information EngineeringFaculty of Electronic and Information EngineeringWith the increased awareness of environmental protection, people have higher requirements for the accuracy of environmental information of surrounding life. The current monitoring of urban environmental information mainly comes from local environmental weather stations. Although the monitoring equipment of environmental weather stations is better than personal monitoring equipment, the monitoring equipment of weather monitoring stations is too expensive and only suitable for large-scale coarse-grained monitoring. Because the environmental information of a city is affected by factors such as landforms, buildings, rivers, factories, population density, and traffic flow, there are great differences in the environmental information of different areas in a city. Therefore, this study proposes a method that can be used for small-scale and fine-grained environmental information monitoring: the task grid-based urban environmental information release mechanism for mobile crowd sensing (MCS). Through this mechanism, the monitoring area is divided into different task grids according to the characteristics of the area, and the environmental information is sensed by mobile crowd sensing. For the sensing data, through an efficient data fusion algorithm designed in this study, the sensing information is fused to obtain the fine-grained environmental information of different task grids in the area. Through the use of this mechanism, differentiated environmental information can be provided to users in different areas of the city. In a simulation, this mechanism showed higher information accuracy than traditional information release methods. Thus, the mechanism is scientific and has good application value.http://dx.doi.org/10.1155/2022/1738660 |
| spellingShingle | Zhenwei Chen Yang Lu Zusong Li Xiancun Zhou Task Grid-Based Urban Environmental Information Release Mechanism for Mobile Crowd Sensing Journal of Electrical and Computer Engineering |
| title | Task Grid-Based Urban Environmental Information Release Mechanism for Mobile Crowd Sensing |
| title_full | Task Grid-Based Urban Environmental Information Release Mechanism for Mobile Crowd Sensing |
| title_fullStr | Task Grid-Based Urban Environmental Information Release Mechanism for Mobile Crowd Sensing |
| title_full_unstemmed | Task Grid-Based Urban Environmental Information Release Mechanism for Mobile Crowd Sensing |
| title_short | Task Grid-Based Urban Environmental Information Release Mechanism for Mobile Crowd Sensing |
| title_sort | task grid based urban environmental information release mechanism for mobile crowd sensing |
| url | http://dx.doi.org/10.1155/2022/1738660 |
| work_keys_str_mv | AT zhenweichen taskgridbasedurbanenvironmentalinformationreleasemechanismformobilecrowdsensing AT yanglu taskgridbasedurbanenvironmentalinformationreleasemechanismformobilecrowdsensing AT zusongli taskgridbasedurbanenvironmentalinformationreleasemechanismformobilecrowdsensing AT xiancunzhou taskgridbasedurbanenvironmentalinformationreleasemechanismformobilecrowdsensing |