中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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

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