Measuring air quality in city areas by vehicular wireless sensor networks

Hu, Shu-Chiung; Wang, You‐Chiun; Huang, Chiuan-Yu; Tseng, Yu–Chee

doi:10.1016/j.jss.2011.06.043

Cited by 71 publications

(46 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding crowdsensing approaches, projects like [11][12][13] relied on crowdsensing solutions to monitor pollution in urban areas. However, in rural and industrial zones, available options are quite more limited.…”

Section: Journal Of Advanced Transportationmentioning

confidence: 99%

“…These pollution maps were generated using the R Graph tool [43] and following a Kriging-based interpolation [44]. In particular, a Gaussian distribution is used to adjust the parameters coming from UAV [2] UAV [3] UAV [4] UAV [5] UAV [6] UAV [7] UAV [8] UAV [9] UAV [10] UAV [11] UAV [12] UAV [13] UAV [14] UAV [15] UAV [16] UAV [17] UAV [18] UAV [19] UAV [20] UAV [21] UAV [22] UAV [23] UAV [24] UAV [25] UAV [26] UAV [27] UAV [28] UAV [29] UAV [30] UAV [31] UAV [32] UAV [33] UAV [34] UAV [35] UAV [36] UAV [37] UAV [38] UAV [39] UAV [40] UAV [41] UAV [42] UAV [43] UAV [44] UAV [45] UAV [46] UAV UAV [9]…”

Section: Validation and Simulationmentioning

confidence: 99%

See 1 more Smart Citation

Using UAV-Based Systems to Monitor Air Pollution in Areas with Poor Accessibility

Alvear

Zema

Natalizio

et al. 2017

Journal of Advanced Transportation

100

View full text Add to dashboard Cite

Air pollution monitoring has recently become an issue of utmost importance in our society. Despite the fact that crowdsensing approaches could be an adequate solution for urban areas, they cannot be implemented in rural environments. Instead, deploying a fleet of UAVs could be considered an acceptable alternative. Embracing this approach, this paper proposes the use of UAVs equipped with off-the-shelf sensors to perform air pollution monitoring tasks. These UAVs are guided by our proposed Pollution-driven UAV Control (PdUC) algorithm, which is based on a chemotaxis metaheuristic and a local particle swarm optimization strategy. Together, they allow automatically performing the monitoring of a specified area using UAVs. Experimental results show that, when using PdUC, an implicit priority guides the construction of pollution maps by focusing on areas where the pollutants' concentration is higher. This way, accurate maps can be constructed in a faster manner when compared to other strategies. The PdUC scheme is compared against various standard mobility models through simulation, showing that it achieves better performance. In particular, it is able to find the most polluted areas with more accuracy and provides a higher coverage within the time bounds defined by the UAV flight time.

show abstract

Section: Journal Of Advanced Transportationmentioning

confidence: 99%

Section: Validation and Simulationmentioning

confidence: 99%

Using UAV-Based Systems to Monitor Air Pollution in Areas with Poor Accessibility

Alvear

Zema

Natalizio

et al. 2017

Journal of Advanced Transportation

100

View full text Add to dashboard Cite

show abstract

“…al. (2011) [14] In this paper, considers a small scale atmosphere checking situation, which more often than not requires conveying a substantial number of sensor hubs to catch ecological data. By misusing vehicular sensor systems (VSNs), it is conceivable to prepare less hubs on autos to accomplish fine-grained observing.…”

Section: Mihaela Oprea Et Al (2005)mentioning

confidence: 99%

Air Pollution Analysis using Ontologies and Regression Models

Choudhary¹,

Gautam²

2016

ijacsa

View full text Add to dashboard Cite

Abstract-Rapidly throughout the world economy, "the expansive Web" in the "world" explosive growth, rapidly growing market characterized by short product cycles exists and the demand for increased flexibility as well as the extensive use of a new data vision managed data society. A new socio-economic system that relies more and more on movement and allocation results in data whose daily existence, refinement, economy and adjust the exchange industry. Cooperative Engineering Cooperation and multi -disciplinary installed on people's cooperation is a good example. Semantic Web is a new form of Web content that is meaningful to computers and additional approved another example. Communication, vision sharing and exchanging data Society's are new commercial bet. Urban air pollution modeling and data processing techniques need elevated Association. Artificial intelligence in countless ways and breakthrough technologies can solve environmental problems from uneven offers. A method for data to formal ontology means a true meaning and lack of ambiguity to allow us to portray memo. In this work we survey regression model for ontologies and air pollution.

show abstract

“…. , 2,12 counterclockwise; similarly, cells in other layers are labeled in the same way. In particular, the centers of all of cell ,1 in the th layer are on the extension line of the centers of 0,0 and 1,1 , as shown in Figure 1.…”

Section: Coverage Modelmentioning

confidence: 99%

Heterogeneous Node Deployment Model Based on Area Topology Control in WSNs

Xie

Fan

et al. 2015

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Balanced energy consumption in WSNs is the key to maximize network lifetime. After analyzing laws of energy consumption of WSNs, a heterogeneous node deployment model based on area topology control is proposed in this paper. It utilizes predetermined heterogeneous node deployment to balance area energy consumption ratio and the topology control algorithm based on area energy consumption ratio to maintain dynamic equilibrium energy consumption. Simulation results show that our model takes a superior performance on maintaining network coverage, balancing energy consumption, and maximizing network lifetime. Compared with similar WSNs deployment models, our model can be more efficient to prolong network lifetime and has advantages in reducing dependence on deployment accuracy, balancing dynamic energy consumption, and improving lifetime in poor network environment.

show abstract

Measuring air quality in city areas by vehicular wireless sensor networks

Cited by 71 publications

References 8 publications

Using UAV-Based Systems to Monitor Air Pollution in Areas with Poor Accessibility

Using UAV-Based Systems to Monitor Air Pollution in Areas with Poor Accessibility

Air Pollution Analysis using Ontologies and Regression Models

Heterogeneous Node Deployment Model Based on Area Topology Control in WSNs

Contact Info

Product

Resources

About