Cyber-physical systems: Extending pervasive sensing from control theory to the Internet of Things

被引:94
作者
Bordel, Borja [1 ]
Alcarria, Ramon [2 ]
Robles, Tomas [1 ]
Martin, Diego [1 ]
机构
[1] Univ Politecn Madrid, Dept Telemat Syst Engn, Ave Complutense, E-28040 Madrid, Spain
[2] Univ Politecn Madrid, Dept Topog Engn & Cartog, Campus Sur, Madrid 28031, Spain
关键词
Cyber-physical systems; Pervasive sensing; Machine-to-machine; Wireless sensor networks; Hybrid systems; Internet-of-Things; Data services; Pervasive computing; WIRELESS SENSOR NETWORKS; TO-MACHINE COMMUNICATIONS; FAULT-TOLERANT CONTROL; ENERGY-EFFICIENT; LINEAR-SYSTEMS; ARCHITECTURE; CHALLENGES; DESIGN; STABILITY; COMMUNICATION;
D O I
10.1016/j.pmcj.2017.06.011
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Essentially, the emerging term "Cyber-Physical Systems (CPS)'' is an architectural paradigm in which the pervasive sensing technologies represent a fundamental part. Originally defined in the computer sciences domain, the term Cyber-Physical Systems has been adapted to very different domains such as the control theory or electronic engineering. Even, some authors understand CPS as a particular scenario of the Internet of Things (IoT) based on pervasive sensing. Furthermore, recently, some works propose a definition for CPS including all the features described in the different domains. In this paper we provide a comprehensive analysis of the nature and characteristics of the different proposals, discuss the recent attempts to standardize CPS, and review the state-of-the-art on CPS for each technological domain. We compare those different proposals on CPS, discuss about some related terms and technologies and conclude by describing the main research challenges in the area. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:156 / 184
页数:29
相关论文
共 289 条
[1]   A utilization bound for aperiodic tasks and priority driven scheduling [J].
Abdelzaher, TF ;
Sharma, V ;
Lu, CY .
IEEE TRANSACTIONS ON COMPUTERS, 2004, 53 (03) :334-350
[2]  
Aguiar Y., 2011, P COGNITIVE, P36
[3]   Cognitive Machine-to-Machine Communications for Internet-of-Things: A Protocol Stack Perspective [J].
Aijaz, Adnan ;
Aghvami, A. Hamid .
IEEE INTERNET OF THINGS JOURNAL, 2015, 2 (02) :103-112
[4]   Wireless sensor networks: a survey [J].
Akyildiz, IF ;
Su, W ;
Sankarasubramaniam, Y ;
Cayirci, E .
COMPUTER NETWORKS, 2002, 38 (04) :393-422
[5]  
Al Faruque M. A., EDA CYBER PHYS ENERG
[6]  
Alliance O.S.G., 2003, OSGI SERVICE PLATFOR
[7]  
Alur Rajeev, 1992, LNCS, P209, DOI [DOI 10.1007/3-540-57318-6, DOI 10.1007/3-540-57318-6_30]
[8]  
Anderson Christoph, 2015, Modeling and Using Content. 9th International and Interdisciplinary Conference (CONTEXT 2015). Proceedings: LNCS 9405, P471, DOI 10.1007/978-3-319-25591-0_34
[9]  
[Anonymous], 2009, 802154D2009 IEEE COM
[10]  
[Anonymous], 2011, HARD REAL TIME COMPU