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Erschienen in:
IoT-Aided Robotics Development and Applications with AI Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

IoT in Smart Automation and Robotics with Streaming Analytical Challenges

verfasst von : R. Ganesh Babu, A. Karunakaran, G. Manikandan, S. Kalimuthu Kumar, R. Selvameena

Erschienen in: Emergence of Cyber Physical System and IoT in Smart Automation and Robotics

Verlag: Springer International Publishing

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Abstract

The Internet of things (IoT) idea is advancing quickly and affecting new advancements in different application areas. For example, the Internet of mobile things (IoMT), autonomous Internet of things (An IoT), autonomous system of things (ASoT), Internet of autonomous things (IoAT), Internet of things clouds (IoT-C) and the Internet of robotic things (IoRT) that are regressing/progressing by utilizing IoT innovation. The IoRT speaks to new assembly challenges, and there should be tended to, in one surface the programmability and correspondence of various heterogeneous versatile/self-ruling/mechanical things for participating, their coordination, set up, trade of data, security, well-being and insurance. Advancements in IoT heterogeneous equal preparing/correspondence and dynamic frameworks dependent on parallelism and simultaneousness require new thoughts for coordinating the astute “gadgets”, community robots (COBOTS) and keen on IoT appliance. Dynamic viability, identity mending, self-fix of assets, varying asset condition system and setting support IoT frameworks. Administration usage and reconciliation through IoT organize administration creation are of vital significance when original “intellectual gadgets” are turning out to be dynamic members in IoT applications.

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Vorheriges Kapitel A Concept of Internet of Robotic Things for Smart Automation
Nächstes Kapitel Managing IoT and Cloud-Based Healthcare Record System Using Unique Identification Number to Promote Integrated Healthcare Delivery System: A Perspective from India
Literatur
Akyildiz, I. F., Lee, W.-Y., Vuran, M. C., & Mohanty, S. (2006). NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks, 50(13), 2127–2159.MATHCrossRef
Akyildiz, I. F., Lo, B. F., & Balakrishnan, R. (2011). Cooperative spectrum sensing in cognitive radio networks: A survey. Physical Communication, 4(1), 40–62.CrossRef
Anavangot, V., Menon, V. G., & Nayyar, A. (2018, November). Distributed big data analytics in the Internet of signals. In 2018 International Conference on System Modeling & Advancement in Research Trends (SMART) (pp. 73–77). IEEE.
Arslan, H. (2007). Cognitive radio, software defined radio, and adaptive wireless systems. Springer.
Batth, R. S., Nayyar, A., & Nagpal, A. (2018, August). Internet of robotic things: Driving intelligent robotics of future-concept, architecture, applications and technologies. In 2018 4th International Conference on Computing Sciences (ICCS) (pp. 151–160). IEEE.
Doulamis, N. (2018). Adaptable deep learning structures for object labeling/tracking under dynamic visual environments. Multimedia Tools and Applications, 77(8), 9651–9689.CrossRef
Dubey, S., Singh, P., Yadav, P., & Singh, K. K. (2020). Household waste management system using IoT and machine learning. Procedia Computer Science, 167, 1950–1959.CrossRef
Ekram, H., & Bhargava, V.K. (2007). Cognitive wireless communications networks. Springer Science & Business Media.
Ganesh Babu, R. (2016a). Helium’s orbit Internet of Things (IoT) space. International Journal of Computer Science and Wireless Security, 03(02), 123–124.
Ganesh Babu, R. (2016b). Mismatch correction of analog to digital converter in digital communication receiver. International Journal of Advanced Research Trends in Engineering and Technology, 3(19), 264–268.
Ganesh Babu, R. (2016c). WIMAX capacity enchancements introducing full frequency reuse using MIMO techniques. International Journal of Advanced Research in Biology Engineering Science and Technology, 2(16), 1–7.
Ganesh Babu, R., & Amudha, V. (2016a). Cluster technique based channel sensing in cognitive radio networks. International Journal of Control Theory and Applications, 9(5), 207–213.
Ganesh Babu, R., & Amudha, V. (2016e). Spectrum sensing cluster techniques in cognitive radio networks. In Proceedings of 4th International Conference on Recent Trends in Computer Science & Engineering, (ICRTCSE) in Association with Elsevier-Procedia Computer Science (Vol. 87, pp. 258–263).
Ganesh Babu, R., & Amudha, V. (2018a). Allow a useful interference of authenticated secondary user in cognitive radio networks. International Journal of Pure and Applied Mathematics, 119(16), 3341–3354.
Ganesh Babu, R., & Amudha, V. (2018b). Comparative analysis of distributive firefly optimized spectrum sensing clustering techniques in cognitive radio networks. Journal of Advanced Research in Dynamical and Control Systems, 10(9), 1364–1373.
Ganesh Babu, R., & Amudha, V. (2018c). A survey on artificial intelligence techniques in cognitive radio networks. In Proceedings of 1st International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS)in Association with Springer Advances in Intelligent Systems and Computing Series (Vol. 755, pp. 99–110). Springer.
Ganesh Babu, R., Karthika, P., & Elangovan, K. (2019). Performance analysis for image security using SVM and ANN classification techniques. In Proceedings of Third IEEE International Conference on Electronics, Communication and Aerospace Technology (ICECA), RVS Technical Campus, Coimbatore, India (pp. 460–465).
Ganesh Babu, R., Amudha, V., & Karthika, P. (2020). Architectures and protocols for next-generation cognitive networking. In K. K. Singh, K. Cengiz, D. –N. Le & A. Singh (Eds.), Machine learning and cognitive computing for mobile communications and wireless networks (1st ed., pp. 155–177). Scrivener Publishing Partnering with Wiley. https://​doi.​org/​10.​1002/​9781119640554.​ch7.
Ganesh Babu, R., Karthika, P., & Aravinda Rajan, V. (2020). Secure IoT systems using raspberry pi machine learning artificial intelligence. In Proceedings of Second International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT 2019) in Association with Lecture Notes on Data Engineering and Communications Technologies (Vol. 44, pp. 797–805). Springer.
Gupta, R., Tanwar, S., Al-Turjman, F., Italiya, P., Nauman, A., & Kim, S. W. (2020). Smart contract privacy protection using AI in cyber-physical systems: Tools, techniques and challenges. IEEE Access, 8, 24746–2477.CrossRef
Hailu, Tegegn Ayalew, & Nedumaran, A. (2019). A survey on provisioning of quality of service (QoS) in MANET. International Journal of Research and Advanced Development, 3(2), 34–40.
Karthika, P., & Vidhya Saraswathi, P. (2019). Image security performance analysis for SVM and ANN classification techniques. International Journal of Recent Technology and Engineering, 8(4S2), 436–442.
Karthika, P., & Vidhya Saraswathi, P. (2020). Raspberry Pi: A tool for strategic machine learning security allocation in IoT. In N. Raju, M. Rajalakshmi, D. Goyal, S. Balamurugan, A. Elngar, B. Kesawn (Eds.), Empowering artificial intelligence through machine learning (pp. 133–141). Apple Academic press, CRC Press, Taylor & Francis Group.
Karthika, P., Ganesh Babu, R., & Nedumaran, A. (2019). Machine learning security allocation in IoT. In Proceedings of IEEE International Conference on Intelligent Computing and Control Systems (ICICCS), Vaigai College of Engineering, Madurai, India (pp. 474–478).
Mekonnen, W. G., Hailu, T. A., Tamene, M., & Karthika, P. (2020). A dynamic efficient protocol secure for privacy preserving communication based VANET. In Proceedings of Second International Conference on Computational Intelligence in Pattern Recognition (CIPR) in association with Advances in Intelligent Systems and Computing (Vol. 1120, pp. 383–393). Springer.
Mitola, J. (2000). Software radio architecture: Object-oriented approaches to wireless system engineering. Wiley.
Mittal, S., & Sangwan, O. P. (2019). Big data analytics using machine learning techniques. In Proceedings of 9th IEEE International Conference on Cloud Computing, Data Science ad Engineering (CONFLUENCE), Amity University, Noida, India (pp. 203–207).
Nayyar, A., Puri, V., & Le, D. N. (2017). Internet of nano things (IoNT): Next evolutionary step in nanotechnology. Nanoscience and Nanotechnology, 7(1), 4–8.
Nedumaran, A., Abdul Kerim, S., & Abdu, Tedros Salih. (2017). Advanced link state routing protocol approach for mobile ad-hoc networks. International Journal for Scientific Research and Development, 5(3), 516–519.
Nedumaran, A., Ganesh Babu, R., Mesmer Mesele Kass, & Karthika, P. (2019). Machine level classification using support vector machine. In AIP Conference Proceedings of International Conference on Sustainable Manufacturing, Materials and Technologies (ICSMMT 2019), Coimbatore, India (Vol. 2207(1), pp. 020013-1–020013-10).
Padikkapparambil, J., Ncube, C., Singh, K. K., & Singh, A. (2020). Internet of Things technologies for elderly health-care applications. In Emergence of pharmaceutical industry growth with industrial IoT approach (pp. 217–243). Academic Press.
Pouyanfar, S., Sadiq, S., Iyengars, S. S., & Yan, Y. (2018). A survey on deep learning: Algorithms, techniques, and Applications. ACM Computing Survey, 51(5), 1–36.CrossRef
Rondeau, T. W., & Bostain, C. W. (2009). Artificial intelligence in wireless communication. USA: Artech House.
Sehgal, A., Agrawal, R., Bhardwaj, R., & Singh, K. K. (2020). Reliability analysis of wireless link for IoT applications under shadow-fading conditions. Procedia Computer Science, 167, 1515–1523.CrossRef
Singh, P., Nayyar, A., Kaur, A., & Ghosh, U. (2020a). Blockchain and fog based architecture for internet of everything in smart cities. Future Internet, 12(4), 61.CrossRef
Singh, A. K., Firoz, N., Tripathi, A., Singh, K. K., Choudhary, P., & Vashist, P. C. (2020b). Internet of Things: from hype to reality. In An industrial IoT approach for pharmaceutical industry growth (Vol. 2, p. 191).
Singh, M., Sachan, S., Singh, A., & Singh, K. K. (2020c). Internet of Things in pharma industry: Possibilities and challenges. In Emergence of pharmaceutical industry growth with industrial IoT approach (pp. 195–216). Academic Press.
Solanki, A., & Nayyar, A. (2019). Green internet of things (G-IoT): ICT technologies, principles, applications, projects, and challenges. In Handbook of research on big data and the IoT (pp. 379–405). IGI Global.
Tanwar, S. (2020). Fog data analytics for IoT applications—Next generation process model with state-of-the-art technologies, Studies in big data (Vol. 76, pp. 1–497). Springer International Publishing.
Tsai, C., Lai, C., Chao, H., & Vasilakos, A. V. (2015). Big data analytics: A survey. Journal of Big Data, 2(1), 1–32.CrossRef
Youssra, R., & Sara, R. (2018). Big data and big data analytics: Concepts. Types and Technologies, International Journal of Research and Engineering, 5(9), 524–528.
Metadaten
Titel
IoT in Smart Automation and Robotics with Streaming Analytical Challenges
verfasst von
R. Ganesh Babu
A. Karunakaran
G. Manikandan
S. Kalimuthu Kumar
R. Selvameena
Copyright-Jahr
2021
Buch
Emergence of Cyber Physical System and IoT in Smart Automation and Robotics

Print ISBN: 978-3-030-66221-9

Electronic ISBN: 978-3-030-66222-6

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-3-030-66222-6_7

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