CSpace  > 中国科学院计算技术研究所期刊论文  > 中文
Leveraging data fusion to improve barrier coverage in wireless sensor networks
Zhang Zhaoliang; Li Dong; Huang Tingpei; Cui Li
2013
发表期刊The Journal of China Universities of Posts and Telecommunications
ISSN1005-8885
卷号20期号:1页码:26
摘要Intruder detection and border surveillance are amongst the most promising applications of wireless sensor networks. Barrier coverage formulates these problems as constructing barriers in a long-thin region to detect intruders that cross the region. Existing studies on this topic are not only based on simplistic binary sensing model but also neglect the collaboration employed in many systems. In this paper, we propose a solution which exploits the collaboration of sensors to improve the performance of barrier coverage under probabilistic sensing model. First, the network width requirement, the sensor density and the number of barriers are derived under data fusion model when sensors are randomly distributed. Then, we present an efficient algorithm to construct barriers with a small number of sensors. The theoretical comparison shows that our solution can greatly improve barrier coverage via collaboration of sensors. We also conduct extensive simulations to demonstrate the effectiveness of our solution.
关键词wireless sensor networks coverage deployment data fusion percolation theory
语种英语
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/30998
专题中国科学院计算技术研究所期刊论文_中文
作者单位中国科学院计算技术研究所
第一作者单位中国科学院计算技术研究所
推荐引用方式
GB/T 7714
Zhang Zhaoliang,Li Dong,Huang Tingpei,et al. Leveraging data fusion to improve barrier coverage in wireless sensor networks[J]. The Journal of China Universities of Posts and Telecommunications,2013,20(1):26.
APA Zhang Zhaoliang,Li Dong,Huang Tingpei,&Cui Li.(2013).Leveraging data fusion to improve barrier coverage in wireless sensor networks.The Journal of China Universities of Posts and Telecommunications,20(1),26.
MLA Zhang Zhaoliang,et al."Leveraging data fusion to improve barrier coverage in wireless sensor networks".The Journal of China Universities of Posts and Telecommunications 20.1(2013):26.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang Zhaoliang]的文章
[Li Dong]的文章
[Huang Tingpei]的文章
百度学术
百度学术中相似的文章
[Zhang Zhaoliang]的文章
[Li Dong]的文章
[Huang Tingpei]的文章
必应学术
必应学术中相似的文章
[Zhang Zhaoliang]的文章
[Li Dong]的文章
[Huang Tingpei]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。