无状态网络标签的通信模型

Jia Liu, Youlin Zhang, Min Chen, Shigang Chen, Lijun Chen
{"title":"无状态网络标签的通信模型","authors":"Jia Liu, Youlin Zhang, Min Chen, Shigang Chen, Lijun Chen","doi":"10.1109/ICNP.2016.7784457","DOIUrl":null,"url":null,"abstract":"Traditional radio frequency identification (RFID) technologies allow tags to communicate with a reader but not among themselves. By enabling peer-to-peer communications among nearby tags, the emerging networked tags make a fundamental enhancement to today's RFID systems. This new capability supports a series of system-level functions in previously infeasible scenarios where the readers cannot cover all tags due to cost or physical limitations. This paper makes the first attempt to design a new communication model that is specifically tailored to efficient implementation of system-level functions in networked tag systems. Instead of exploiting complex mechanisms for collision detection and resolution, we propose a collision-resistent communication model (CCM) that embraces the collision in tag communications and utilizes it to merge the data from different sources in a benign way. Two fundamental applications: RFID estimation and missing-tag detection, are presented to illustrate how CCM assists efficient system-level operations in networked tag systems. Simulation results show that system-level applications through CCM outperform those through ID collection.","PeriodicalId":115376,"journal":{"name":"2016 IEEE 24th International Conference on Network Protocols (ICNP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A communication model for stateless networked tags\",\"authors\":\"Jia Liu, Youlin Zhang, Min Chen, Shigang Chen, Lijun Chen\",\"doi\":\"10.1109/ICNP.2016.7784457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional radio frequency identification (RFID) technologies allow tags to communicate with a reader but not among themselves. By enabling peer-to-peer communications among nearby tags, the emerging networked tags make a fundamental enhancement to today's RFID systems. This new capability supports a series of system-level functions in previously infeasible scenarios where the readers cannot cover all tags due to cost or physical limitations. This paper makes the first attempt to design a new communication model that is specifically tailored to efficient implementation of system-level functions in networked tag systems. Instead of exploiting complex mechanisms for collision detection and resolution, we propose a collision-resistent communication model (CCM) that embraces the collision in tag communications and utilizes it to merge the data from different sources in a benign way. Two fundamental applications: RFID estimation and missing-tag detection, are presented to illustrate how CCM assists efficient system-level operations in networked tag systems. Simulation results show that system-level applications through CCM outperform those through ID collection.\",\"PeriodicalId\":115376,\"journal\":{\"name\":\"2016 IEEE 24th International Conference on Network Protocols (ICNP)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 24th International Conference on Network Protocols (ICNP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNP.2016.7784457\",\"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 24th International Conference on Network Protocols (ICNP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNP.2016.7784457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

传统的射频识别(RFID)技术允许标签与阅读器通信,但不能在它们之间通信。通过在附近标签之间实现点对点通信,新兴的网络标签对当今的RFID系统进行了根本性的增强。由于成本或物理限制,读卡器无法覆盖所有标签,这种新功能在以前不可行的场景中支持一系列系统级功能。本文首次尝试设计一种新的通信模型,专门针对网络标签系统中系统级功能的有效实现。我们提出了一种抗碰撞通信模型(CCM),该模型包含标签通信中的碰撞,并利用它以一种良性的方式合并来自不同来源的数据,而不是利用复杂的碰撞检测和解决机制。两个基本的应用:RFID估计和丢失标签检测,被提出,以说明CCM如何协助有效的系统级操作在网络标签系统。仿真结果表明,通过CCM的系统级应用程序优于通过ID收集的系统级应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A communication model for stateless networked tags
Traditional radio frequency identification (RFID) technologies allow tags to communicate with a reader but not among themselves. By enabling peer-to-peer communications among nearby tags, the emerging networked tags make a fundamental enhancement to today's RFID systems. This new capability supports a series of system-level functions in previously infeasible scenarios where the readers cannot cover all tags due to cost or physical limitations. This paper makes the first attempt to design a new communication model that is specifically tailored to efficient implementation of system-level functions in networked tag systems. Instead of exploiting complex mechanisms for collision detection and resolution, we propose a collision-resistent communication model (CCM) that embraces the collision in tag communications and utilizes it to merge the data from different sources in a benign way. Two fundamental applications: RFID estimation and missing-tag detection, are presented to illustrate how CCM assists efficient system-level operations in networked tag systems. Simulation results show that system-level applications through CCM outperform those through ID collection.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信