S. Sendra, José Luis García-Navas, Pablo Romero-Díaz, Jaime Lloret
{"title":"Collaborative LoRa-Based Sensor Network for Pollution Monitoring in Smart Cities","authors":"S. Sendra, José Luis García-Navas, Pablo Romero-Díaz, Jaime Lloret","doi":"10.1109/FMEC.2019.8795321","DOIUrl":null,"url":null,"abstract":"With the aging of the car park in big cities, together with the fact that the number of users of private vehicles is increasing, the quality of air (QoA) in large cities has been worryingly reduced. Therefore, it is becoming increasingly necessary to implement new monitoring infrastructures to improve our smart cities. Therefore, in this paper, we present a collaborative Long Range (LoRa)-based sensor network for pollution monitoring in smart cities. The system is based on geo-located nodes capable of measuring the temperature, relative humidity and concentration of CO2 in urban environments. The system also takes into account the subjective opinions of citizens. By using the collected data and considering the restrictions policies of the city, the system in able to send the required orders to panels and traffic signs to control de traffic circulation. Finally, the citizens can be advised to avoid going to too polluted areas. The system has been testes in a real environment with very interesting results.","PeriodicalId":101825,"journal":{"name":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FMEC.2019.8795321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
With the aging of the car park in big cities, together with the fact that the number of users of private vehicles is increasing, the quality of air (QoA) in large cities has been worryingly reduced. Therefore, it is becoming increasingly necessary to implement new monitoring infrastructures to improve our smart cities. Therefore, in this paper, we present a collaborative Long Range (LoRa)-based sensor network for pollution monitoring in smart cities. The system is based on geo-located nodes capable of measuring the temperature, relative humidity and concentration of CO2 in urban environments. The system also takes into account the subjective opinions of citizens. By using the collected data and considering the restrictions policies of the city, the system in able to send the required orders to panels and traffic signs to control de traffic circulation. Finally, the citizens can be advised to avoid going to too polluted areas. The system has been testes in a real environment with very interesting results.