{"title":"利用无线传感器网络实现智能电网的高效数据采集","authors":"Kwangsoo Kim, Hyochan Bang, Seong-il Jin","doi":"10.1109/GCCE.2013.6664808","DOIUrl":null,"url":null,"abstract":"Data collection is an essential operation in smart grids using wireless sensor networks. In a smart grid, a smart meter generates power usage and a data collection unit periodically collects it from every smart meter. This paper focuses on a central data collection problem of how to quickly collect every power usage from every smart meter without collisions. To solve the problem, we divide a tree that a sensor network constructs into several branches. Each branch consists of all meters included in a path from a data collection unit to a leaf meter, and a conflict-free query schedule is generated based on branches. The novel method avoids collisions between a query and a query response as well as between query responses. The experimental results show that this method can achieve both collision avoidance and fast query processing at the same time.","PeriodicalId":294532,"journal":{"name":"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Efficient data collection for smart grid using wireless sensor networks\",\"authors\":\"Kwangsoo Kim, Hyochan Bang, Seong-il Jin\",\"doi\":\"10.1109/GCCE.2013.6664808\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data collection is an essential operation in smart grids using wireless sensor networks. In a smart grid, a smart meter generates power usage and a data collection unit periodically collects it from every smart meter. This paper focuses on a central data collection problem of how to quickly collect every power usage from every smart meter without collisions. To solve the problem, we divide a tree that a sensor network constructs into several branches. Each branch consists of all meters included in a path from a data collection unit to a leaf meter, and a conflict-free query schedule is generated based on branches. The novel method avoids collisions between a query and a query response as well as between query responses. The experimental results show that this method can achieve both collision avoidance and fast query processing at the same time.\",\"PeriodicalId\":294532,\"journal\":{\"name\":\"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2013.6664808\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2013.6664808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient data collection for smart grid using wireless sensor networks
Data collection is an essential operation in smart grids using wireless sensor networks. In a smart grid, a smart meter generates power usage and a data collection unit periodically collects it from every smart meter. This paper focuses on a central data collection problem of how to quickly collect every power usage from every smart meter without collisions. To solve the problem, we divide a tree that a sensor network constructs into several branches. Each branch consists of all meters included in a path from a data collection unit to a leaf meter, and a conflict-free query schedule is generated based on branches. The novel method avoids collisions between a query and a query response as well as between query responses. The experimental results show that this method can achieve both collision avoidance and fast query processing at the same time.