[1]王 群,钱焕延,张 亮.车联网定位与位置感知技术研究[J].南京师大学报(自然科学版),2015,38(01):66.
　Wang Qun,Qian Huanyan,Zhang Liang.Localization and Nodes Location-Aware in Internet of Vehicles[J].Journal of Nanjing Normal University(Natural Science Edition),2015,38(01):66.
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车联网定位与位置感知技术研究()
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《南京师大学报》（自然科学版）[ISSN:1001-4616/CN:32-1239/N]

卷:
第38卷
期数:
2015年01期
页码:
66
栏目:
计算机科学
出版日期:
2015-06-30

文章信息/Info

Title:
Localization and Nodes Location-Aware in Internet of Vehicles
作者:
王 群1; 2; 钱焕延2; 张 亮1
(1.江苏警官学院计算机信息与网络安全系,江苏 南京 210031)(2.南京理工大学计算机科学与技术学院,江苏 南京 210094)
Author(s):
Wang Qun1; 2; Qian Huanyan2; Zhang Liang1
(1.Department of Computer Information and Cyber Security,Jiangsu Police Institute,Nanjing 210031,China)(2.School of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094,China)
关键词:
车联网; 定位方法; 位置感知; 测距定位; 非测距定位
Keywords:
internet of vehicles; localization method; location-aware; range-based; range-free
分类号:
TP393
文献标志码:
A
摘要:
车联网(Internet of Vehicles,IoV)被认为是物联网中最有可能率先突破应用的一个重要分支,成为目前研究的重点和热点. 其中,车辆节点的定位和位置感知技术是车联网的技术核心,不仅关系到车辆行驶过程中的安全,而且影响着车联网的发展前景. 首先,提出了车联网定位和位置感知的评价标准,介绍了无线定位测距技术的实现原理和方法. 在此基础上,重点阐述了车联网的定位和位置感知技术,讨论了相关算法以及在车联网中的应用特点. 最后,在综合分析了现有研究成果的同时,对未来的研究方向进行了展望.
Abstract:
Internet of Vehicles(IoV)has been considered to be an important branch which is most likely the first breakthrough in the application of Internet of Things(IoT),and has become the focal point of research. Among them,the localization and the location-aware of vehicles are key technologies of the IoV. These two technologies not only is related to vehicle security,but also affected the prospects for the development of IoV. First,the standards of evaluation on localization and nodes location-aware of IoV have been presented,and the principle and method of wireless location based on range-based have been introduced. On this basis,localization and nodes location-aware technologies of IoV have been focused,and the algorithm and applications in IoV have been discussed. Finally,in the comprehensive analysis of existing research results at the same time,we conclude the paper by elaborating the future research directions on the IoV.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2014-08-16.
基金项目:公安技术(江苏省高等学校“十二五”重点学科建设专项资金资助)、2013年江苏省高等教育教改研究立项课题(2013JSJG150)、国家社会科学基金资助项目(13BTQ046).
通讯联系人:王群,博士生,教授,研究方向:网络安全管理、物联网. E-mail:wqun@jspi. edu. Cn
更新日期/Last Update: 2015-03-30