Analysis of connectivity for sensor networks using geometrical probability

doi:10.1007/978-3-540-30121-9_57

科研成果详情

发表状态	已发表Published
题名	Analysis of connectivity for sensor networks using geometrical probability
作者	Jia, Weijia1 ; Fu, Yingjie 1; Wang, Jianxin 2
发表日期	2004
发表期刊	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN/eISSN	0302-9743/1611-3349
卷号	3207 页码:601-611
摘要	Sensors typically have limited power of transmission. Thus desired connectivity probability (CP) between the sensors is critical in the given deployment area. This paper presents a novel approach for analyzing the lower bound of CP for sensor networks under uniformly distribution of the sensors in a given area. © Springer-Verlag Berlin Heidelberg 2004.
关键词	Connectivity Sensor network
DOI	10.1007/978-3-540-30121-9_57
URL	查看来源
收录类别	SCIE ; CPCI-S
语种	英语English
WOS研究方向	Computer Science
WOS类目	Computer Science, Theory & Methods
WOS记录号	WOS:000223635900057
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/1991
专题	个人在本单位外知识产出
通讯作者	Jia, Weijia
作者单位	1.Department of Computer Engineering and Information Technology, City University of Hong Kong, Kowloon, Hong Kong, China 2.Institute of Information, Central South University, Changsha, Hunan, China
推荐引用方式 GB/T 7714	Jia, Weijia,Fu, Yingjie,Wang, Jianxin. Analysis of connectivity for sensor networks using geometrical probability[J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, 3207: 601-611.
APA	Jia, Weijia, Fu, Yingjie, & Wang, Jianxin. (2004). Analysis of connectivity for sensor networks using geometrical probability. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3207, 601-611.
MLA	Jia, Weijia,et al."Analysis of connectivity for sensor networks using geometrical probability". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3207(2004): 601-611.