{"title":"海报摘要:DeGas -工业无线传感器网络中的有毒气体边界区域检测","authors":"Lei Shu, M. Mukherjee, Yuanfang Chen","doi":"10.1109/IPSN.2016.7460700","DOIUrl":null,"url":null,"abstract":"In this article, we propose a new scheme DeGas to determine the boundary area of the toxic gas with planarization algorithm. This detected boundary area will ensure safe area around the toxic gas and will provide a decision reference for evacuation and rescue of the first-line workers in the large-scale petrochemical plants. Understanding the implications of these observations enable to find out an optimal trade-off between the cost of a number of deployed sensor nodes and the accuracy of the estimated toxic gas boundary area size.","PeriodicalId":137855,"journal":{"name":"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Poster Abstract: DeGas - Toxic Gas Boundary Area Detection in Industrial Wireless Sensor Networks\",\"authors\":\"Lei Shu, M. Mukherjee, Yuanfang Chen\",\"doi\":\"10.1109/IPSN.2016.7460700\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we propose a new scheme DeGas to determine the boundary area of the toxic gas with planarization algorithm. This detected boundary area will ensure safe area around the toxic gas and will provide a decision reference for evacuation and rescue of the first-line workers in the large-scale petrochemical plants. Understanding the implications of these observations enable to find out an optimal trade-off between the cost of a number of deployed sensor nodes and the accuracy of the estimated toxic gas boundary area size.\",\"PeriodicalId\":137855,\"journal\":{\"name\":\"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPSN.2016.7460700\",\"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 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPSN.2016.7460700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poster Abstract: DeGas - Toxic Gas Boundary Area Detection in Industrial Wireless Sensor Networks
In this article, we propose a new scheme DeGas to determine the boundary area of the toxic gas with planarization algorithm. This detected boundary area will ensure safe area around the toxic gas and will provide a decision reference for evacuation and rescue of the first-line workers in the large-scale petrochemical plants. Understanding the implications of these observations enable to find out an optimal trade-off between the cost of a number of deployed sensor nodes and the accuracy of the estimated toxic gas boundary area size.