The Maximum Number of Cells with Modulated Binary Sensors
文献类型:期刊论文
作者 | Luo LX(罗龙祥)1,2,4,5; Xiao Y(肖杨)4; Liang W(梁炜)1,2,5 |
刊名 | IEEE Sensors Journal |
出版日期 | 2021 |
卷号 | 21期号:9页码:11061-110744 |
ISSN号 | 1530-437X |
关键词 | Internet of Things (IoT) Binary sensors Sensor Deployment Sensor Array Spatial Awareness the maximum number of cells |
产权排序 | 1 |
英文摘要 | Due to the low cost and good privacy protection of binary sensors, there are many applications of binary sensors. To enhance the spatial awareness of binary sensors, researchers utilize modulators to modulate views of sensors into visible and invisible regions so that the monitoring space is segmented into small cells identified by signatures. When a warm object moves in these cells, its location or moving trajectory can be acquired more accurately with modulators than without modulators. Accordingly, the maximum number of cells (MNC) in a deployment determines partially the maximal spatial awareness of the binary sensor system. In this paper, we provide a theoretical study of the MNC, given the number of sensors and the number of modulators. We also find the sufficient and necessary conditions to achieve the MNC so that we provide the reasons why deployment cannot obtain the MNC. These conditions can guide researchers to design the MNC deployments. Furthermore, we provide a method to calculate the number of cells when a deployment sometime cannot obtain the MNC. Our experiments provide deep insights into the influences of those conditions on the MNC and the MNC on the spatial awareness of binary sensor systems. |
资助项目 | National Key Research and Development Program of China[2017YFE0123000] ; National Natural Science Foundation of China[62022088] ; International Partnership Program of Chinese Academy of Sciences[173321KYSB20180020] ; International Partnership Program of Chinese Academy of Sciences[173321KYSB20200002] ; Liaoning Provincial Natural Science Foundation of China[2019-YQ-09] ; Liaoning Provincial Natural Science Foundation of China[2020JH2/10500002] ; LiaoNing Revitalization Talents Program[XLYC1902110] |
WOS研究方向 | Engineering ; Instruments & Instrumentation ; Physics |
语种 | 英语 |
WOS记录号 | WOS:000638432800081 |
资助机构 | National Key Research and Development Program of China (2017YFE0123000) ; National Natural Science Foundation of China (62022088) ; International Partnership Program of Chinese Academy of Sciences (173321KYSB20180020, 173321KYSB20200002) ; Liaoning Provincial Natural Science Foundation of China (2019-YQ-09, 2020JH2/10500002) ; LiaoNing Revitalization Talents Program (XLYC1902110) |
源URL | [http://ir.sia.cn/handle/173321/28413] |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
通讯作者 | Xiao Y(肖杨); Liang W(梁炜) |
作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Key Laboratory of Networked Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.Department of Computer Science, The University of Alabama, Tuscaloosa, AL 5487-02903 USA. 4.University of Chinese Academy of Sciences, Beijing 100049, China 5.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China |
推荐引用方式 GB/T 7714 | Luo LX,Xiao Y,Liang W. The Maximum Number of Cells with Modulated Binary Sensors[J]. IEEE Sensors Journal,2021,21(9):11061-110744. |
APA | Luo LX,Xiao Y,&Liang W.(2021).The Maximum Number of Cells with Modulated Binary Sensors.IEEE Sensors Journal,21(9),11061-110744. |
MLA | Luo LX,et al."The Maximum Number of Cells with Modulated Binary Sensors".IEEE Sensors Journal 21.9(2021):11061-110744. |
入库方式: OAI收割
来源:沈阳自动化研究所
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。