{"title":"边缘上的分散数据处理——使用边缘计算访问无线传感器网络","authors":"Henry-Norbert Cocos, David Merkl","doi":"10.33965/ac2019_201912c034","DOIUrl":null,"url":null,"abstract":"Wireless Sensor Networks usually lack the proper hardware resources to analyze and visualize the gathered data by its sensors. In general, within such networks the recorded data is just forwarded to a database. There servers with more resources can access the data, to realize monitoring, visualization and statistical analysis. Therefore as an addition to such WSNs an edge computing approach is proposed, where some of the compute-intensive tasks are outsourced into sub layers. This will be applied on a sensor network, which measures several physical quantities to determine the indoor air quality.","PeriodicalId":432605,"journal":{"name":"Proceedings of the 16th International Conference on Applied Computing 2019","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DECENTRALIZED DATA PROCESSING ON THE EDGE ACCESSING WIRELESS SENSOR NETWORKS WITH EDGE COMPUTING\",\"authors\":\"Henry-Norbert Cocos, David Merkl\",\"doi\":\"10.33965/ac2019_201912c034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless Sensor Networks usually lack the proper hardware resources to analyze and visualize the gathered data by its sensors. In general, within such networks the recorded data is just forwarded to a database. There servers with more resources can access the data, to realize monitoring, visualization and statistical analysis. Therefore as an addition to such WSNs an edge computing approach is proposed, where some of the compute-intensive tasks are outsourced into sub layers. This will be applied on a sensor network, which measures several physical quantities to determine the indoor air quality.\",\"PeriodicalId\":432605,\"journal\":{\"name\":\"Proceedings of the 16th International Conference on Applied Computing 2019\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 16th International Conference on Applied Computing 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33965/ac2019_201912c034\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th International Conference on Applied Computing 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33965/ac2019_201912c034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DECENTRALIZED DATA PROCESSING ON THE EDGE ACCESSING WIRELESS SENSOR NETWORKS WITH EDGE COMPUTING
Wireless Sensor Networks usually lack the proper hardware resources to analyze and visualize the gathered data by its sensors. In general, within such networks the recorded data is just forwarded to a database. There servers with more resources can access the data, to realize monitoring, visualization and statistical analysis. Therefore as an addition to such WSNs an edge computing approach is proposed, where some of the compute-intensive tasks are outsourced into sub layers. This will be applied on a sensor network, which measures several physical quantities to determine the indoor air quality.