Utilizing Csiszar Divergences to Analyze Deployments of Binary Sensors with Modulators

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	Utilizing Csiszar Divergences to Analyze Deployments of Binary Sensors with Modulators
	Luo LX(罗龙祥)1,2,4,5; Xiao Y(肖杨)3; Liang W(梁炜)1,2,5; Zheng M(郑萌)1,2,5
	2021
会议日期	June 28 -JuLy 2, 2021
会议地点	ELECTR NETWORK
关键词	Binary sensor deployment modulators sensor array divergence smoothing method
页码	1399-1404
英文摘要	Divergences or their counterpart (dis)similarity measures of two probability distributions play an important role in information theory. Especially, Csiszar divergences have many forms. Among so many forms of Csiszar divergences, we plan to find which divergence is the best suit of the analysis of binary sensor deployments. A binary sensor outputs a binary digit 1 or 0 when detecting an object or not, respectively. Recently, modulators made of opaque materials are utilized to modulate the sensing view of binary sensors to enhance their spatial awareness. In this paper, we construct two probability models of binary sensors modulated by modulators, i.e., an ideal model and an actual deployment model. Moreover, we utilize 13 forms of Csiszar divergences to analyze the distribution of those probability models. Based on the divergence calculation results, we classify the 13 divergences into five classifications. Furthermore, we propose a smoothing method to deal with the events which are absent in the experiments, i.e., occurring with zero probability. Our experiment results show that the smoothing method eliminates the zero probabilities and has little influence on the nonzero probabilities. Finally, we select the best divergence among the 13 divergences to analyze binary sensors modulated with modulators.
源文献作者	IEEE, IEEE Harbin Sect, IEEE Commun Soc Harbin Chapter, Huawei
产权排序	1
会议录	2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC 2021)
会议录出版者	IEEE
会议录出版地	NEW YORK
语种	英语
ISSN号	2376-6492
ISBN号	978-1-7281-8616-0
WOS记录号	WOS:000707024100260
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/29855]
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 2.Key Laboratory of Networked Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016 3.Department of Computer Science, The University of Alabama, Tuscaloosa, AL 35487-0290, 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,et al. Utilizing Csiszar Divergences to Analyze Deployments of Binary Sensors with Modulators[C]. 见:. ELECTR NETWORK. June 28 -JuLy 2, 2021.