Distributed sensing for quality and productivity improvements

被引:46
作者
Ding, Yu [1 ]
Elsayed, Elsayed A.
Kumara, Soundar
Lu, Jye-Chyi
Niu, Feng
Shi, Jianjun
机构
[1] Texas A&M Univ, Dept Ind & Syst Engn, College Stn, TX 77843 USA
[2] Rutgers State Univ, Dept Ind & Syst Engn, Piscataway, NJ 08854 USA
[3] Penn State Univ, Dept Ind & Mfg Engn, University Pk, PA 16802 USA
[4] Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA
[5] Motorola Labs, Plantation, FL 33322 USA
[6] Univ Michigan, Dept Ind & Operat Engn, Ann Arbor, MI 48109 USA
基金
美国国家科学基金会;
关键词
decision making; distributed sensor systems; quality improvement; sensor optimization;
D O I
10.1109/TASE.2006.876610
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Distributed sensing, a system-wide deployment of sensing devices, has resulted in both temporally and spatially dense data-rich environments. This new technology provides unprecedented opportunities for quality and productivity improvement. This paper discusses the state-of-the-art practice, research challenges, and future directions related to distributed sensing. The discussion includes the optimal design of distributed sensor systems, information criteria, and processing for distributed sensing and optimal decision making in distributed sensing. The discussion also provides applications based on the authors' research experiences.
引用
收藏
页码:344 / 359
页数:16
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