A Survey on the Concepts, Trends, Enabling Technologies, Architectures, Challenges and Open Issues in Cognitive IoT Based Smart Environments

Authors(1) :-Mehamed Ahmed Abdurahman

In many industrial applications, novel paradigms based on IoT services are evolving. However, today’s industrial systems are facing various challenges, due to heterogeneous, mixed and uncertain ubiquitous network, the application prospect of which is extensive in the field of modern intelligent service, and discrepancies between service offering and application requirement. In line to this, the researchers believed that existing technologies and approach specifically, IoT, lack enough cognitive based intelligence and cannot achieve the expected enhancements and smart industry developments.

Therefore, the researchers argue that, with ambition to optimize the resource and infrastructures invested for smart industries, the Cognitive Internet of Things (CIoT) and its corresponding i the cognitive approaches, provide flexible and robust solution for such systems, enabling new level of adaptability and re-configurability in the system by self-X capabilities.

In Light of this, the main objective of this paper, is to survey on concepts of Internet of Things based environments, and reviews the technologies, architectures/platforms, and trends in industries systems being cognitive and or smart. Afterward, we analyzed the research challenges and open issues and facilitate knowledge accumulation in efficiently in this field of Internet of Things (IoT) associated with industrial systems.

Authors and Affiliations

Mehamed Ahmed Abdurahman
PhD Student, Faculty of Engineering and Technology / IT Department, PIET, Parul University, Limda, Waghodiya, Vadodara, Gujarat-India
Affiliated University, Aksum University, Tigray, Ethiopia

Internet of Things (IoT), Cognitive Internet of Things(CIoT), Paradigm, Smart Environment, Industry

  1. Allen-Bradley, Rockwell Automation, Rockwell Software and TechConnect is a trademark of Rockwell Automation, Inc. EtherNet/IP is a trademark of ODVA Inc. Publication CIE-WP007A-EN-P - July 2016 www.rockwellautomation.com/connectedenterprise
  2. Ovidiu V.: Internet of Things - From Research and Innovation to Market Deployment: River Publishers Series in Communication, ISBN:978-87-92982-96-4, ‎2014 www.riverpublishers.com
  3. Xu et al.: Internet of Things In Industries: A Survey: IEEE Transactions on Industrial Informatics, ISSN 1551-3203 ,Vol. 10, No. 4, PP 2233-2243, November 2014
  4. Ejaz A.: "Internet-of-Things-Based Smart Environments: State of the Art, Taxonomy, and Open Research Challenges": IEEE Wireless Communications and Networking Technologies for Internet of Things. IEEE Wireless Communications. pp 10-16 October 2016
  5. Ahmed K. N. : Potential of Cognitive Computing and Cognitive Systems: Center for Advanced Engineering Environments, Old Dominion University, Norfolk, United States, October 29, 2014
  6. http://dx.doi.org/10.1515/eng-2015-0008 Qu, S. et. al. Comuptional Reasoning and Learning for Smart Manufacturing Under Realistic Conditions. In Proceedings of the Behavior, Economic and Social Computing (BESC) Conferencece, PP 1-8, 2014
  7. Y. Lu, K.C. Morris, S. Frechette, Current Standards Landscape for Smart Manufacturing Systems, National Institute of Standards and Technology, February 2016. http://dx.doi.org/10.6028/NIST.IR.8107
  8. Miorandi D. et al. "Internet of things: Vision, applications and research challenges," Ad Hoc Netw., vol. 10, no. 7, pp. 1497-1516, 2012.
  9. J. Clarke, R. Castro, A. Sharma, J. Lopez, and N. Suri, "Trust & security RTD in the internet of things: Opportunities for international cooperation," in Proc. 1st Int. Conf. Security of Internet of Things, Kollam, India, pp. 172-178, 2012.
  10. L. Xu, "Introduction: Systems science in industrial sectors," Syst. Res. Behav. Sci., vol. 30, no. 3, pp. 211-213, 2013.
  11. F. Li. Et al.: "A rough programming model based on the greatest compatible classes and synthesis effect," Syst. Res. Behav. Sci., vol. 30, no. 3, pp. 229-243, 2013.
  12. Lin Y. et al.: "Systems Science Methodological Approaches". Boca Raton, FL, USA: CRC Press, 2013
  13. Islam S. M. R. et al.: "Internet of Things for Health Care: A Comprehensive Survey": IEEE ACCESS: ISSN. 2169-3536 VOLUME 3, PP 678-708, June 4, 2015. http://doi.org/10.1109/ACCESS.2015.2437951
  14. Yang G. et al., "A health-IoT platform based on the integration of intelligent packaging, unobtrusive bio-sensor, and intelligent medicine box,’’ IEEE Trans. Ind. Informat., vol. 10, no. 4, pp. 2180-2191, Nov. 2014.
  15. Xu B., et al. "Ubiquitous data accessing method in IoT-based information system for emergency medical services,’’ IEEE Trans. Ind. Informat., vol. 10, no. 2, pp. 1578-1586, May 2014.
  16. Tabish R. et al.: "A 3G/WiFi-enabled 6LoWPAN-based U-healthcare system for ubiquitous real-time monitoring and data logging,’’ in Proc. Middle East Conf. Biomed. Eng. (MECBME) , pp. 277-280, Feb. 2014
  17. Laroche F. et al.: "Towards the factory of future An integrated approach of material-processes-information-human being BIQUITOUS COMPUTING FOR," pp. 1-6, 2012.
  18. Jammes F. and Smit H.: "Service-Oriented Paradigms in Industrial Automation," IEEE Trans. Ind. Informatics, vol. 1, no. 1, pp. 62-70, Feb. 2005.
  19. Almannai B. et al.: "A decision support tool based on QFD and FMEA for the selection of manufacturing automation technologies": Robotics and Computer-Integrated Manufacturing, 24 no 4, pp 501-50724 Aug 31, 2008.
  20. Kirmani, N. et al.: "Performance Modeling of Automated Manufacturing Systems," Technometrics, vol. 35, no. 4, p. 456, Nov. 1993.
  21. Dhinesh K. et al.: "Computers in manufacturing: towards successful implementation of integrated automation system," Technovation, vol. 25, no. 5, pp. 477- 488, May 2005.
  22. Rashmi S.:: "Internet of Things (IoT): Applications And Research Direction": International Journal of Pure And Applied Research In Engineering And Technology; Volume 4 (11), PP 10-19, ISSN: 2319-507X , 2016 .
  23. Smart Manufacturing Leadership Coalition, Implementing 21st Century Smart Manufacturing: Workshop Summary Report, Washington D.C., 2011
  24. Schatsky D. et. al.: "Cognitive technologies: The real opportunities for business", Issue 16 , 2015
  25. Sarkar, S. N. A. U. et al.: "A scalable distributed architecture towards unifying IoT applications," in Internet of Things (WF-IoT), IEEE World Forum, pp. 508-513. 2014
  26. Fei Li. et al.: "Efficient and scalable IoT service delivery on cloud," in Cloud Computing IEEE Sixth International Conference, pp. 740-747, 2013
  27. Harding J. et. al.: "Data Mining in Manufacturing: A Review", J. Manuf. Sci. Eng., vol. 128, no. 4, p. 969, 2006.
  28. Feng S. et al. : "Smart Home: Cognitive Interactive People-Centric Internet of Things": IEEE Communications Magazine, PP 34-39 February, 2017
  29. Wu Q. et al., "Cognitive Internet of Things: A New Paradigm Beyond Connection," IEEE Internet Things" , vol. 1, no. 2, pp. 129-143 , Apr. 2014
  30. Foteinos V. et al., "Cognitive Management for the Internet of Things: A Framework for Enabling Autonomous Applications," IEEEnVehic. Tech. Mag., vol. 8, no. 4, pp. 90-99, Dec. 2013.
  31. Haykin S.: "Cognitive Dynamic Systems": Perception-Action Cycle, Radar, and Radio, Cambridge Univ. Press, 2012.
  32. Haykin S., "Cognitive Dynamic Systems: Radar, Control, and Radio," Proc. IEEE, vol. 100, no. 7, pp. 2095- 2103, July 2012.
  33. Ramon Caceres and Adrian Friday, "Ubicomp Systems at 20: Progress, Opportunities, and Challenges", in Pervasive Computing, IEEE, vol.11, no.1, pp.14-21, 2012.
  34. Baldini G. et al. "A Cognitive Framework for Realizing and Exploiting the Internet of Things Concept". In 27th WWRF Meeting, Dusseldorf, October 2011.
  35. Wuest T. et al.: "Machine learning in manufacturing: advantages, challenges, and applications :Production & Manufacturing research": an Open access Journal Vol. 4, no. 1, PP 23-45, 2016 http://dx.doi.org/10.1080/21693277.2016.1192517
  36. S.Iarovyi, P et al." From artificial cognitive systems and open architectures to cognitive manufacturing systems", PP 1225- 1232, 2016
  37. Shayan N.: " A survey on Internet of Things: applications and challenges. Second International Congress on Technology, Communication and Knowledge)- Mashhad Branch, Islamic Azad University, Mashhad, Iran ,pp 165-169, November, 11-12, 2015
  38. Wu H.et al.: "Developing Vehicular Data Cloud Services in the IoT Environment", IEEE transactions on industrial informatics, vol. 10, no. 2, pp 1587-1595 , 2014
  39. Nagorny K. et al.: "Big Data Analysis in Smart Manufacturing": A Review: Int. J. Communications, Network and System Sciences, 10, 31-58 ,2017 http://www.scirp.org/journal/ijcns
  40. Bokrantz, J., et al. "Maintenance in digitalized manufacturing: Delphi-based scenarios for 2030." International Journal of Production Economics, Volume 191, Pages 154- 169, September 2017, 169https://doi.org/10.1016/j.ijpe.2017.06.010
  41. Thoben, K. et al."Industries 4.0" and Smart Manufacturing - A Review of Research Issues and Application Examples: Int. J. of Automation Technology Vol.11 No.1, 2017
  42. Qin SJ. : "Process data analytics in the era of big data." AIChE J. Volume 60, No 9, PP 3092-3100, Sep, 2014.
  43. Shah D. et al:"Challenges and Opportunities for Iot- Enabled Cybermanufacturing: Some Initial Findings from an Iot-enabled Manufacturing Technology Testbed," Proceedings of Foundations of Computer Aided Process Operations / Chemical Process Control, , p. 66, 2017
  44. Wang J. Statistics pattern analysis as a Big Data analytics tool for smart manufacturing. J. Process. Control, 2016.
  45. Monostori et al.: "Cyber-physical systems in manufacturing. CIRP Ann. - Manuf. Technol. Volume 65, PP 621-641, 2016.
  46. Thoben et al.: "Industrie 4.0 and smart manufacturing" - A review of research issues and application examples. Int. J. Autom. Technol. 11 (1), PP 4-16. 2017.
  47. Hermann, et al. "Design principles for Industrie 4.0 scenarios. In: 49th Hawaii International Conference on System Sciences (HICSS), Jan 5-8, 2016, Koloa, Hawaii.
  48. Kang, et al. Smart manufacturing: past research, present ?ndings, and future directions. Int. J. Precis. Eng. Manuf. Green Technol. 3 (1), PP 111-128, 2016.

Publication Details

Published in : Volume 4 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 512-522
Manuscript Number : IJSRSET1841111
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Mehamed Ahmed Abdurahman, " A Survey on the Concepts, Trends, Enabling Technologies, Architectures, Challenges and Open Issues in Cognitive IoT Based Smart Environments, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 1, pp.512-522, January-February-2018. Available at doi : https://doi.org/10.32628/IJSRSET1841111
Journal URL : http://ijsrset.com/IJSRSET1841111

Article Preview

Follow Us

Contact Us