Skip to main content
Log in

Cyber physical systems design, methodology, and integration: the current status and future outlook

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

Emerging cyber-physical systems (CPS) field will impact on every activity of the daily life in the next few years With the increasing advances in ICT information communication technology (ICT), multidisciplinary fields of research such as cyber-physical systems (CPS) have been wide. The emergence of cyber-physical-social systems (CPS) as a novel paradigm has revolutionized the relationship between humans, computers and the physical environment. This paper aims to present a comprehensive overview of CPS key aspects from different points of views such as design, methodology, and key enabler technologies such as sensor networks, Internet of Things (IoT), cloud computing, and multi-agent systems. Also, some important applications such as smart cities which are considered as one of the important application that will provide new services for healthcare applications, vehicular networks, energy distribution, the monitoring of environmental changes, business and commerce applications, emergency response, and other social activities and industrial systems are explored. Also, this paper considers the requirements and methodologies for CPS integrations such as CloudIoT and CloudIoV systems. Although, there are significant efforts and studies have been made towards CPS application, key challenges and problems in CPS have been identified in this paper to be considered as research issues the next few years.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Ahmad A, Anand Paul M, Mazhar Rathore Hangbae, Chang (2016) Smart cyber society: Integration of capillary devices with high usability based on the cyberphysical system. Future Gener Comput Syst 56:493–503

    Article  Google Scholar 

  • Aitken R, Chandra V, Myers J, Sandhu B, Shifren L, Yeric G (2014) Device and technology implications of the Internet of Things. In: VLSI Technology (VLSITechnology): Digest of Technical Papers, 2014 Symposium on, 2014, pp 1–4

  • Alemdar H, Ersoy C (2010) Wireless sensor networks for healthcare: A survey, Com- 1035 put. Netw 54(15):2688–2710

    Google Scholar 

  • Alhakbani N, Hassan MM, Hossain MA, Alnuem M (2014) A framework of adaptive interaction support in Cloud-based Internet of Things (IoT) environment. In: Internet and Distributed Computing Systems, Springer, 2014, pp 136–146

  • Alshaer H, Levchenko Alexander (2013) A system for portable sleep apnea diagnosis using an embedded data capturing module. J Clin Monit Comput 27:303–311. DOI 10.1007/s10877-013-9435-8

    Article  Google Scholar 

  • Axelrod CW (2013) Managing the risks of cyber-physical systems. In: 2013 IEEE Long Island Systems, Applications and Technology Conference, LISAT, 3–3 May 2013, pp 1–6

  • Banerjee A, Gupta SKS (2013) Spatio-temporal hybrid automata for safe cyber-physical systems: A medical case study. In: 2013 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS, 8–11 April 2013, pp 71–80

  • Banerjee A, Venkatasubramanian KK, Mukherjee T, Gupta SKS (2012) Ensuring safety, security, and sustainability of mission-critical cyber–physical systems. Proc IEEE 100(1):283–299

    Article  Google Scholar 

  • Bassi A, Horn G (2008) Internet of things in 2020. In: Proceedings of the Joint Euro- 1049 pean Commission/EPoSS Expert Workshop on RFID/Internet-of-Things, 2008

  • Bechini A, Marcelloni F, Segatori A (2014) Low-effort support to efficient urban parking in a smart city perspective. In: Gaglio S, Lo Re G (eds) Advances onto the Internet of Things, Springer International Publishing, Berlin. doi:10.1007/978-3-319-03992-3_17, pp. 233–252

    Google Scholar 

  • Berman JJ (2013) Principles of big data: preparing, sharing, and analyzing complex information. Elsevier, Waltham

    Google Scholar 

  • Biswas J, Maniyeri J, Gopalakrishnan K, Shue L, Eugene PJ, Palit HN, Siang FY, Seng LL, Xiaorong L (2010) Processing of wearable sensor data on the Cloud—a step towards scaling of continuous monitoring of health and wellbeing. In: Engineering in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE, IEEE, pp. 3860–3863

  • Botta A, Donato Walter de, Persico Valerio, Pescapé Antonio (2016) Integration of Cloud computing and Internet of Things: a survey. Future Gener Comput Syst 56:684–700

    Article  Google Scholar 

  • Buyya R, Yeo CS, Venugopal S, Broberg J, Brandic I (2009) Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Gener Comput Syst 25(6):559–616

    Article  Google Scholar 

  • Chen S, Xu H, Liu D, Hu B, Wang H (2014) A vision of IoT: applications, challenges, and opportunities with China perspective. In: IEEE Internet Things J 1:4

  • Christo Cassandras G (2016) Smart Cities as Cyber-Physical Social Systems. Engineering 2:156–158

    Article  Google Scholar 

  • Colombo AW, Karnouskos S, Mendes JM, Leita˜o P (2015) Industrial agents in the era of service oriented architectures and cloud based industrial infrastructures. Emerging Applications of Software Agents in Industry, Elsevier. In: Industrial Agents 13: 978-0128003411

    Book  Google Scholar 

  • Cook DJ, Augusto JC, Jakkula VR (2009) Ambient intelligence: Technologies, applications, and opportunities. Pervasive Mob Comput 5:277–298

    Article  Google Scholar 

  • Culler D, Estrin D, Srivastava M (2005) Overview of sensor networks. IEEE Comput 37:41–49

    Article  Google Scholar 

  • Dae Kim K, Kumar PR (2012) Cyber-physical systems: a perspective at the centennial. Proc IEEE 100:1287–1308

    Article  Google Scholar 

  • Darwish A (2011) Aboul Ella Hassanien, Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring. Sensors 11:5561–5595. doi:10.3390/s110605561

    Article  Google Scholar 

  • Dash SK, Mohapatra S, Patnaik PK (2010a) A survey on the application of wireless sensor network using Cloud computing. Int J Comput Sci Eng Technol 1(4):50–55

    Google Scholar 

  • De Maio C et al (2017) Distributed online Temporal Fuzzy Concept Analysis for stream processing in smart cities. J Parallel Distrib Comput. doi:10.1016/j.jpdc.2017.02.002

    Article  Google Scholar 

  • Demchenko Y, Grosso P, de Laat C, Membrey P (2013) Addressing Big Data issues in scientific data infrastructure. In: Proceedings of the Int’l. Conf. on Collaboration Technologies and Systems, pp. 48–55

  • Dobre C, Xhafa F (2014) Intelligent services for big data science. Future Gener Comput Syst 37:267–281

    Article  Google Scholar 

  • Eberle S (2007) Adaptive internet integration of field bus systems. IEEE Trans Ind Inform. 3, 12–20, doi:10.1109/TII.2006.890525

    Article  Google Scholar 

  • El-Tawab S, Olariu S, Communication protocols in FRIEND: A cyber-physical system for traffic Flow Related Information Aggregation and Dissemination. In: 2013 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops, 18–22 March 2013, pp 447–452

  • Esch J (2013) Prolog to ‘‘Aviation cyber–physical systems: Foundations for future aircraft and air transport’’. Proc IEEE 101(8):1831–1833

    Article  Google Scholar 

  • European commission (2013) Definition of research and innovation policy leveraging Cloud Computing and IoT combination. Tender specifications, SMART 2013/0037

  • Fallah YP, Sengupta R (2012) A cyber-physical systems approach to the design of vehicle safety networks, In: 2012 32nd International Conference on Distributed Computing Systems Workshops, ICDCSW, 18–21 June 2012, pp 324–329

  • Flammini A, Sisinni E (2014) Wireless sensor networking in the internet of things and cloud computing Era, Procedia Engineering 87, pp 672–679

    Article  Google Scholar 

  • Fortino G, Parisi D, Pirrone V, Fatta GD (2014) Bodycloud: a saas approach for community body sensor networks. Future Gener Comput Syst 35:62–79

    Article  Google Scholar 

  • Fox GC, Kamburugamuve S, Hartman RD (2012) Architecture and measured characteristics of a Cloud based Internet of Things. In: Collaboration Technologies and Systems (CTS), 2012 International Conference on, IEEE, pp 6–12

  • Franke M, Seidl C, Schlegel T (2013) A seamless integration, semantic middleware for cyber-physical systems. In: 2013 10th IEEE International Conference on Networking, Sensing, and Control, ICNSC, 10–12 April 2013, pp 627–632

  • Gachet D, de Buenaga M, Aparicio F, Padrn V (2012) Integrating Internet of Things and Cloud computing for health services provisioning: the virtual Cloud carer project. In: Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), Sixth International Conference on, IEEE, 2012, pp. 918921

  • Gama J et al (2014) A survey on concept drift adaptation. ACM Comput Surv 46(4):44

    Article  Google Scholar 

  • Gomes MM, Righi RDR, da Costa CA (2014) Future directions for providing better IoT infrastructure. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. UbiComp’14 Adjunct, pp. 51–54

  • Grossman R (2009) The case for cloud computing. IT Prof 11(2):23–27

    Article  Google Scholar 

  • Grund D (2009) Towards a formal definition of timing predictability, in Workshop on Reconciling Performance with Predictability, Grenoble

  • Gu X, Jin X, Ni J, Koren Y (2015) Manufacturing system design for resilience. Procedia CIRP 36:135–140

    Article  Google Scholar 

  • Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of Things (IoT): vision, Architectural elements and future directions. Future Gener ComputSyst 29(7):1645–1660

    Article  Google Scholar 

  • Hackmann G, Guo W, Yan G, Sun Z, Lu C, Dyke S (2014) Cyber-physical co-design of distributed structural health monitoring with wireless sensor networks. IEEE Trans Parallel Distrib Syst 25(1):63–72

    Article  Google Scholar 

  • Hehenberger P, Vogel-Heuser B, Bradley D, Eynard B, Tomiyama T, Achiche S (2016a) Design, modeling, simulation, and integration of cyber physical systems: methods and applications. Comput Ind 82:273–289

    Article  Google Scholar 

  • Hehenberger P, Vogel-Heuser B, Bradley D, Eynard B, Tomiyama T, Achiche S (2016b) Design, modeling, simulation, and integration of cyber physical systems: methods and applications. Comput Ind 82:273–289

    Article  Google Scholar 

  • Hu F, Lu Y, Vasilakos AV, Hao Q, Ma R, Patil Y, Zhang T, Lu J, Li X (2016) Neal N. Xiong, Robust cyber-physical systems: Concept, models, and implementation. Future Gener Comput Syst 56:449–475

    Article  Google Scholar 

  • Intanagonwiwat C, Govindan R, Estrin D (2000) Directed diffusion: a scalable and robust communication paradigm for sensor networks. In: Proceedings of the ACM Mobi-Com’00, Boston, MA, USA, August 2000; pp. 56–67

  • Klein MH, Ralya T (1990) An analysis of input/output paradigms for real-time systems, Technical Report, CMU/SEI-90-TR-19, 1990. https://resources.sei.cmu.edu/asset_files/TechnicalReport/1990_005_001_15869.pdf

  • Komoto H, Tomiyama T (2012) A framework for computer-aided conceptual design and its application to system architecting of mechatronics products. Comput Aided Des 44:931–946

    Article  Google Scholar 

  • Krotofil M, Larsen J, Gollmann D (2015) The Process Matters: Ensuring Data Veracity in Cyber-physical Systems. In: Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security (ASIA CCS ‘15), Singapore, April 2015, pp. 133–144

  • Kumar N, Kaur K, Jindal A, Rodrigues JJPC (2015) Providing healthcare services on-the-fly using multi player cooperation game theory on Internet of Vehicles (IoV) environment. Digital Commun Netw 1:191–203

    Article  Google Scholar 

  • Le XH, Lee S, Truc P.T.H., Vinh LT, Khattak A, Han M, Hung DV, Hassan M, Kim M, Koo K-H, Lee Y-K, Huh E-N (2010) Secured when-integrated Cloud computing for u-life care. In: Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE, January 2010, pp 1–2

  • Lee EA (2006) Cyber-physical systems-are computing foundations adequate. Position Paper for NSF Workshop On Cyber-Physical Systems: Research Motivation, Techniques and Roadma, vol 2. 2006

  • Lee EA (2008) Cyber physical systems: design challenges. In: 2008 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing (ISORC), IEEE, 2008, pp. 363–369

  • Lee EA (2009) Computing needs time. Commun ACM 52(5):70–79

    Article  Google Scholar 

  • Lee EA, Seshia SA (2017) Introduction to embedded systems, a cyber-physical systems approach, 2nd edn. MIT Press

    MATH  Google Scholar 

  • Lee I, Sokolsky O, Chen S, Hatcliff J, Jee E, Kim BG, King A, Mullen-Fortino M, Park S, Roederer A, Venkatasubramanian KK (2012) Challenges and research directions in medical cyber–physical systems. Proc IEEE 100(1):75–90

    Article  Google Scholar 

  • Li X, Qiao C, Wagh A, Sudhaakar R, Addepalli S, Wu C, Sadek A (2013) A holistic approach to service delivery in driver-in-the-loop vehicular CPS. IEEE J Sel Areas Commun 31(9):513–522

    Article  Google Scholar 

  • Lukasiewycz M, Steinhorst S, Sagstetter F, Chang Wanli, Waszecki P, Kauer M, Chakraborty S (2012) Cyber-physical systems design for electric vehicles, in: 2012 15th Euromicro Conference on Digital System Design, DSD, pp 5–8 September 2012, pp. 477–484

  • Lukkien J (2016) Cyber Physical Systems: a perspective.http://www.win.tue.nl/~johanl/docs/CPS%20v2%20presented.pdf. Accessed 16 May 2016

  • Maio CD, Fenza G, Loia V (2017) Francesco Orciuoli: Unfolding social content evolution along time and semantics. Future Gener Comp Syst 66:146–159

    Article  Google Scholar 

  • Marron PJ, Minder D, Karnouskos S (2012) The emerging domain of cooperating objects: definition and concepts, Springer-Verlag Berlin, 2012, ISBN: 978-3-642-28469-4

  • Masudul Alam K, Saini M, Abdulmotaleb ES (2015) Toward social Internet of Vehicles: concept, architecture, and applications, received December 28, 2014, accepted February 2, 2015, date of publication March 25, 2015, date of current version April 27. Digital Object Identif. doi:10.1109/ACCESS.2015.2416657

    Article  Google Scholar 

  • Mell P, Grance T (2009) The NIST definition of cloud computing. Nat Inst Stand Technol 53(6):50

    Google Scholar 

  • Mendes JM, Leita˜o P, Restivo F, Colombo AW (2009) Service-oriented agents for collaborative industrial automation and production systems. In: Marik V, Strasser T, Zoitl A (eds). Proceedings of the Fourth International Conference on Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS’09), Lecture Notes in Artificial Intelligence, vol. 5696, Springer-Verlag Berlin, Heidelberg, 2009, pp. 13–24

    Chapter  Google Scholar 

  • Michael A et al (2010). A view of cloud computing. CommununACM 53(4):50–58

    Google Scholar 

  • Ming Z, Lou C, Gao W, Han R, Yang Q, Wang L, Zhan J (2013) BDGS: a scalable big data generator suite in big data benchmarking, Proceedings of the Workshop Series on Big Data Benchmarking, pp 138–154

    Google Scholar 

  • Monostori L (2014) Cyber-physical production systems: roots, expectations, and R&Dchallenges. Procedia CIRP 2014;17:9–13

    Article  Google Scholar 

  • Ning H, Liu H, Ma J, Yang LT, Huang R (2016) Cybermatics: cyber-physical-social-thinking hyperspace based science and technology. Future Gener Comput Syst 56:504–522

    Article  Google Scholar 

  • Parwekar P (2011) From internet of things towards cloud of things. In: Computer and Communication Technology (ICCCT), 2011 2nd International Conference on, IEEE, 2011, pp 329–333

  • Plaza I, Martín L, Martin S, Medrano C (2011) Mobile applications in an aging so- 1171 ciety: Status and trends. J Syst Softw 84(11):1977–1988

    Article  Google Scholar 

  • Quaglia D (2013) Communications in cyber-physical systems. In: 2013 2nd Mediterranean Conference on Embedded Computing, MECO, 15–20 June 2013, pp 1–1

  • Rao BP, Saluda P, Sharma N, Mittal A, Sharma SV (2012a) Cloud computing for Internet of Things & sensing based applications. In: Sensing Technology (ICST), 2012 Sixth International Conference on, IEEE, 2012, pp 374–380

  • Rao IH, Amir NA, Dagale H, Kuri J (2012b) e-SURAKSHAK: A cyber-physical healthcare system with service oriented architecture, in: 2012 International Symposium on Electronic System Design, ISED, 19–22 December 2012, pp. 177–182

  • Rasmeet BS, Kumar N (2016) Secure clustering for efficient data dissemination in vehicular cyber-physical systems. Future Gener Comput Syst 56:476–492

    Article  Google Scholar 

  • Rho S, Athanasios V, Chen VW (2016) Cyber physical systems technologies and applications. Future Gener Comput Syst 56:436–437

    Article  Google Scholar 

  • Romer K, Mattern F (2004) The design space of wireless sensor networks. IEEE Wirel Commun 6:11–54

    Google Scholar 

  • Sampigethaya K, Poovendran R, Cyber-physical integration in future aviation information systems. In: Digital avionics systems conference, DASC, 2012 IEEE/AIAA 31st 14–18 October 2012, pp. 7C2-1–7C2-12

  • Sankavaram C, Kodali A, Pattipati K (2013) An integrated health management process for automotive cyber-physical systems. In: 2013 International Conference on, Computing, Networking and Communications, ICNC, pp 28–31 January 2013, pp. 82–86

  • Schirner G, Erdogmus D, Chowdhury K, Padir T (2013) The future of human-inthe- loop cyber-physical systems. Computer 46(1):36–45

    Article  Google Scholar 

  • Seddon JJM, Currie WL (2013) Cloud computing and trans-border health data: Unpacking U.S. and EU healthcare regulation and compliance. Health Policy Technol 2:229–241

    Article  Google Scholar 

  • Shults M, Rhodes RK, Updike SJ, Gilligan BJ, Reining WN (1994) A telemetry instrumentation system for monitoring multiple subcutaneously implanted glucose sensors. IEEE Trans Biomed Eng 41:937–942

    Article  Google Scholar 

  • Strategy ITU, Unit P (2005) ITU Internet Reports: The Internet of Things. International Telecommunication Union (ITU), 1209 Geneva

    Google Scholar 

  • Suciu G, Volpe A, Halunga S, Frate O, Todoran G, Suciu V (2013) Smart cities built on resilient Cloud computing and secure Internet of Things. In: Control Systems and Computer Science (CSCS), 2013 19th International Conference on, IEEE, 2013, pp 513–518

  • Sun B, Li X, Wan B, Wang C, Zhou X (2016) Xianglan Chen, Definitions of predictability for Cyber Physical Systems. J Syst Architect 63:48–60

    Article  Google Scholar 

  • Syed B, Pal A, Srinivasarengan K, Balamuralidhar P (2012) A smart transport application of cyber-physical systems: road surface monitoring with mobile devices. In: 2012 Sixth International Conference on Sensing Technology, ICST, 18–21 December 2012, pp 8–12

  • Vegni AM, Loscrí V (2015) A Survey on Vehicular Social Networks. In: Surveys IEEE Communications, Tutorials (eds), vol 17, 4, 2397–2419, Fourth quarter 2015. doi:10.1109/COMST.2015.2453481

    Article  Google Scholar 

  • Voas J, Zhang J (2009) Cloud computing: New wine or just a new bottle? IT Prof 11(2):15–17

    Article  Google Scholar 

  • Vogel-Heuser B, Hess D (2016) Guest editorial industry 4. 0—prerequisites and visions. IEEE Trans Autom Sci Eng 13:411

    Article  Google Scholar 

  • Wan J, Suo H, Yan H, Liu J (2011) A general test platform for cyber-physical systems: an unmanned vehicle with wireless sensor network navigation. Procedia Eng 24:123–127

    Article  Google Scholar 

  • Wang L (2002) Collaborative conceptual design state of the art and future trends. Comput-Aided Des 34:981–996

    Article  Google Scholar 

  • Wang H, Deng X (2012)Feng Tian, WiP abstract: A human-centered cyber-physical systematic approach for post-stroke monitoring. In: 2012IEEE/ACM Third International Conference on, Cyber-Physical Systems, ICCPS, 17–19 April 2012, pp 209–209

  • Zanella A (2014) Member S, Nicola Bui IEEE, Angelo Castellani, Internet of Things for Smart Cities. IEEE Internet Things J, Vol. 1, 1, February 2014

    Article  Google Scholar 

  • Zaslavsky A, Perera C, Georgakopoulos D (2013a) Sensing as a service and big data, ArXiv Preprint ar xiv: 1301.0159

  • Zaslavsky A, Perera C, Georgakopoulos D (2013b) Sensing as a service and big data. ArXiv Preprint arXiv: 1301.0159

  • Zhang L (2014) A framework to model Big Data driven complex cyber physical control systems. In: Proceedings of the 20th International Conference on Automation & Computing, pp. 283–288

  • Zhao F, Guibas L (2004) Wireless sensor networks: an information processing approach. Morgan Kaufmann, Los Altos, CA, pp 240–245

    Google Scholar 

  • Zheng Z, Zhu J, Lyu MR (2013) Service-generated big data and big data-as-a-service: an overview. In: Proceedings of the IEEE Int’l Congress on Big Data (2013) 403–410

  • World’s population increasingly urban with more than half living in urban areas [Internet]. New York: United Nations; c2016. http://www.un.org/en/development/desa/news/population/world-urbanization- prospects-2014.html. Accessed 10 Jul 2014

Download references

Acknowledgements

The authors of this paper would like to express their gratitude and thanks to the anonymous reviewers for their revision and constructive comments which have helped to improve the quality of the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ashraf Darwish.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Darwish, A., Hassanien, A.E. Cyber physical systems design, methodology, and integration: the current status and future outlook. J Ambient Intell Human Comput 9, 1541–1556 (2018). https://doi.org/10.1007/s12652-017-0575-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-017-0575-4

Keywords

Navigation