Adaptive sampling and sensing approach with mobile sensor networks
文献类型：会议论文
| 作者 | Zhang H(张浩); Zhu YL(朱云龙) ; Tan JD(谈金东)
|
| 出版日期 | 2015 |
| 会议名称 | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) |
| 会议日期 | June 8-12, 2015 |
| 会议地点 | Shenyang, China |
| 页码 | 654-660 |
| 中文摘要 | This paper presents an adaptive sampling and sensing method for mobile sensor networks to reduce the number of measurements and the sampling cost based on compressive sensing. Compressive sensing always uses random measurements, whose information amount cannot be determined previously. The proposed adaptive sampling and sensing approach can find the most informative measurements in unknown environments and reconstruct the original signals. With mobile sensors, measurements are collected sequentially and organically, which give the chance to optimize each of them uniquely. When a mobile sensor is about to collect a new measurement from the surrounding environment, existing information is shared among networked sensors so that each sensor would have a global view of the entire environment. Shared information is analyzed under a sparse domain to infer a model of the environments. The most informative measurements can be determined by optimizing the model. The simulation results demonstrate the effectiveness and the adaptability of the proposed, theoretically-correct algorithm. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISSN号 | 2379-7711 |
| ISBN号 | 978-1-4799-8730-6 |
| WOS记录号 | WOS:000380502300125 |
| 源URL | [http://ir.sia.cn/handle/173321/17371]  |
| 专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
| 推荐引用方式 GB/T 7714 | Zhang H,Zhu YL,Tan JD. Adaptive sampling and sensing approach with mobile sensor networks[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
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。