{"title":"利用无线传感器网络进行空气污染监测","authors":"Bhavika Bathiya, S. Srivastava, Biswajit Mishra","doi":"10.1109/WIECON-ECE.2016.8009098","DOIUrl":null,"url":null,"abstract":"Rapid urbanization and industrialization has resulted in a sustained degradation of environmental quality parameters. It is important to keep track of various environmental pollution indices so that realistic models can be developed and relevant public policies are created. Traditional methods for air pollution measurement are expensive and have a spatial constraint. With these limitations, air pollution monitoring in broader area is not feasible. However, use of modern low-cost sensors in conjunction with wireless sensor network (WSN) creates an opportunity to collect real time data from different locations and provide detailed pollution map. The main aim of this project is to develop a low cost multi-sensor node for air pollution measurement, and to develop WSN protocols for data gathering and data aggregation protocol. We have designed and fabricated such a board. To maintain data accuracy, calibration of each sensor is performed by comparing data transmission using any of the multiple radio technology with fault-tolerant topology control.","PeriodicalId":412645,"journal":{"name":"2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"Air pollution monitoring using wireless sensor network\",\"authors\":\"Bhavika Bathiya, S. Srivastava, Biswajit Mishra\",\"doi\":\"10.1109/WIECON-ECE.2016.8009098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rapid urbanization and industrialization has resulted in a sustained degradation of environmental quality parameters. It is important to keep track of various environmental pollution indices so that realistic models can be developed and relevant public policies are created. Traditional methods for air pollution measurement are expensive and have a spatial constraint. With these limitations, air pollution monitoring in broader area is not feasible. However, use of modern low-cost sensors in conjunction with wireless sensor network (WSN) creates an opportunity to collect real time data from different locations and provide detailed pollution map. The main aim of this project is to develop a low cost multi-sensor node for air pollution measurement, and to develop WSN protocols for data gathering and data aggregation protocol. We have designed and fabricated such a board. To maintain data accuracy, calibration of each sensor is performed by comparing data transmission using any of the multiple radio technology with fault-tolerant topology control.\",\"PeriodicalId\":412645,\"journal\":{\"name\":\"2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WIECON-ECE.2016.8009098\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WIECON-ECE.2016.8009098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Air pollution monitoring using wireless sensor network
Rapid urbanization and industrialization has resulted in a sustained degradation of environmental quality parameters. It is important to keep track of various environmental pollution indices so that realistic models can be developed and relevant public policies are created. Traditional methods for air pollution measurement are expensive and have a spatial constraint. With these limitations, air pollution monitoring in broader area is not feasible. However, use of modern low-cost sensors in conjunction with wireless sensor network (WSN) creates an opportunity to collect real time data from different locations and provide detailed pollution map. The main aim of this project is to develop a low cost multi-sensor node for air pollution measurement, and to develop WSN protocols for data gathering and data aggregation protocol. We have designed and fabricated such a board. To maintain data accuracy, calibration of each sensor is performed by comparing data transmission using any of the multiple radio technology with fault-tolerant topology control.