Haoxiang Liu, Wei Gong, Lei Chen, Wenbo He, Kebin Liu, Yunhao Liu
{"title":"RFID系统中的通用复合计数","authors":"Haoxiang Liu, Wei Gong, Lei Chen, Wenbo He, Kebin Liu, Yunhao Liu","doi":"10.1109/ICDCS.2014.67","DOIUrl":null,"url":null,"abstract":"Counting the number of RFID tags is a fundamental issue and has a wide range of applications in RFID systems. Most existing protocols, however, only apply to the scenario where a single reader counts the number of tags covered by its radio, or at most the union of tags covered by multiple readers. They are unable to achieve more complex counting objectives, i.e., counting the number of tags in a composite set expression such as (S_1 big cup S_2) - (S_3 big cap S_4). This type of counting has realistic significance since it provides more diversity than existing counting scenario, and can be applied in various applications. In this paper, we formally introduce the RFID composite counting problem, which aims at counting the tags in arbitrary set expression. We obtain strong lower bounds on the communication cost of composite counting. We then propose a generic Composite Counting Framework (CCF) that provides estimates for any set expression with desired accuracy. The communication cost of CCF is proved to be within a small factor from the optimal. We build a prototype system for CCF using USRP software defined radio and Intel WISP computational tags. Also, extensive simulations are conducted to evaluate the performance of CCF. The experimental results show that CCF is generic, accurate and time-efficient.","PeriodicalId":170186,"journal":{"name":"2014 IEEE 34th International Conference on Distributed Computing Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Generic Composite Counting in RFID Systems\",\"authors\":\"Haoxiang Liu, Wei Gong, Lei Chen, Wenbo He, Kebin Liu, Yunhao Liu\",\"doi\":\"10.1109/ICDCS.2014.67\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Counting the number of RFID tags is a fundamental issue and has a wide range of applications in RFID systems. Most existing protocols, however, only apply to the scenario where a single reader counts the number of tags covered by its radio, or at most the union of tags covered by multiple readers. They are unable to achieve more complex counting objectives, i.e., counting the number of tags in a composite set expression such as (S_1 big cup S_2) - (S_3 big cap S_4). This type of counting has realistic significance since it provides more diversity than existing counting scenario, and can be applied in various applications. In this paper, we formally introduce the RFID composite counting problem, which aims at counting the tags in arbitrary set expression. We obtain strong lower bounds on the communication cost of composite counting. We then propose a generic Composite Counting Framework (CCF) that provides estimates for any set expression with desired accuracy. The communication cost of CCF is proved to be within a small factor from the optimal. We build a prototype system for CCF using USRP software defined radio and Intel WISP computational tags. Also, extensive simulations are conducted to evaluate the performance of CCF. The experimental results show that CCF is generic, accurate and time-efficient.\",\"PeriodicalId\":170186,\"journal\":{\"name\":\"2014 IEEE 34th International Conference on Distributed Computing Systems\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 34th International Conference on Distributed Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDCS.2014.67\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 34th International Conference on Distributed Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCS.2014.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
摘要
RFID标签数量的统计是一个基本问题,在RFID系统中有着广泛的应用。然而,大多数现有协议仅适用于单个阅读器计算其无线电覆盖的标签数量的场景,或者至多适用于多个阅读器覆盖的标签的联合。它们无法实现更复杂的计数目标,即计算复合集合表达式(S_1 big cup S_2) - (S_3 big cap S_4)中的标签数量。这种类型的计数具有现实意义,因为它比现有的计数场景提供了更多的多样性,并且可以应用于各种应用。本文正式介绍了RFID复合计数问题,该问题的目的是对任意集合表达式中的标签进行计数。我们得到了复合计数通信代价的强下界。然后,我们提出了一个通用的复合计数框架(CCF),它提供了对任何集合表达式的估计,并具有所需的精度。证明了CCF的通信成本与最优值相差很小。我们使用USRP软件定义无线电和Intel WISP计算标签构建了CCF的原型系统。此外,还进行了大量的仿真来评估CCF的性能。实验结果表明,该方法具有通用性强、准确度高、省时等优点。
Counting the number of RFID tags is a fundamental issue and has a wide range of applications in RFID systems. Most existing protocols, however, only apply to the scenario where a single reader counts the number of tags covered by its radio, or at most the union of tags covered by multiple readers. They are unable to achieve more complex counting objectives, i.e., counting the number of tags in a composite set expression such as (S_1 big cup S_2) - (S_3 big cap S_4). This type of counting has realistic significance since it provides more diversity than existing counting scenario, and can be applied in various applications. In this paper, we formally introduce the RFID composite counting problem, which aims at counting the tags in arbitrary set expression. We obtain strong lower bounds on the communication cost of composite counting. We then propose a generic Composite Counting Framework (CCF) that provides estimates for any set expression with desired accuracy. The communication cost of CCF is proved to be within a small factor from the optimal. We build a prototype system for CCF using USRP software defined radio and Intel WISP computational tags. Also, extensive simulations are conducted to evaluate the performance of CCF. The experimental results show that CCF is generic, accurate and time-efficient.