当传感器上路(特邀演讲)

H. Balakrishnan
{"title":"当传感器上路(特邀演讲)","authors":"H. Balakrishnan","doi":"10.1109/PERCOMW.2007.125","DOIUrl":null,"url":null,"abstract":"Summary form only given. Over the past few years, impressive advances in wireless networking and embedded computing have led to the \"first generation\" of wireless sensor networks. In general, these are used for monitoring or tracking applications characterized by low data rates and static deployments. In this talk, I will motivate what the \"second generation\" might look like, focusing on mobile sensor networks gathering heterogeneous \"media-rich\" data. These networks offer the opportunity to sense the world at much higher scale and finer fidelity than their static counterparts, especially over large areas. With hundreds of millions of automobiles and over a billion cell phone-equipped people in the world, cars and humans may turn out to be the vehicles of the world's largest and most dynamic sensor networks in the coming years. This talk will discuss several network architecture challenges in realizing this vision. Meeting these challenges will give us a network architecture that can support a wide range of vehicular network applications, far beyond the area of mobile sensor networks","PeriodicalId":352348,"journal":{"name":"Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"When the Sensors Hit the Roads (Invited Talk)\",\"authors\":\"H. Balakrishnan\",\"doi\":\"10.1109/PERCOMW.2007.125\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. Over the past few years, impressive advances in wireless networking and embedded computing have led to the \\\"first generation\\\" of wireless sensor networks. In general, these are used for monitoring or tracking applications characterized by low data rates and static deployments. In this talk, I will motivate what the \\\"second generation\\\" might look like, focusing on mobile sensor networks gathering heterogeneous \\\"media-rich\\\" data. These networks offer the opportunity to sense the world at much higher scale and finer fidelity than their static counterparts, especially over large areas. With hundreds of millions of automobiles and over a billion cell phone-equipped people in the world, cars and humans may turn out to be the vehicles of the world's largest and most dynamic sensor networks in the coming years. This talk will discuss several network architecture challenges in realizing this vision. Meeting these challenges will give us a network architecture that can support a wide range of vehicular network applications, far beyond the area of mobile sensor networks\",\"PeriodicalId\":352348,\"journal\":{\"name\":\"Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOMW.2007.125\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2007.125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

只提供摘要形式。在过去的几年里,无线网络和嵌入式计算的惊人进步导致了“第一代”无线传感器网络的出现。通常,它们用于监视或跟踪以低数据速率和静态部署为特征的应用程序。在这次演讲中,我将激发“第二代”可能是什么样子,重点关注收集异构“富媒体”数据的移动传感器网络。与静态网络相比,这些网络提供了以更高的规模和更精确的保真度感知世界的机会,尤其是在大范围内。随着世界上数以亿计的汽车和超过10亿拥有手机的人,汽车和人类可能在未来几年成为世界上最大、最具活力的传感器网络的载体。本次演讲将讨论实现这一愿景的几个网络架构挑战。应对这些挑战将使我们的网络架构能够支持广泛的车载网络应用,远远超出移动传感器网络的范围
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When the Sensors Hit the Roads (Invited Talk)
Summary form only given. Over the past few years, impressive advances in wireless networking and embedded computing have led to the "first generation" of wireless sensor networks. In general, these are used for monitoring or tracking applications characterized by low data rates and static deployments. In this talk, I will motivate what the "second generation" might look like, focusing on mobile sensor networks gathering heterogeneous "media-rich" data. These networks offer the opportunity to sense the world at much higher scale and finer fidelity than their static counterparts, especially over large areas. With hundreds of millions of automobiles and over a billion cell phone-equipped people in the world, cars and humans may turn out to be the vehicles of the world's largest and most dynamic sensor networks in the coming years. This talk will discuss several network architecture challenges in realizing this vision. Meeting these challenges will give us a network architecture that can support a wide range of vehicular network applications, far beyond the area of mobile sensor networks
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