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Developmental Proposal of a Generic Architecture for Cognitive Internet of Things
Jeeva Jose1 , Vijo Mathew2
Section:Research Paper, Product Type: Journal-Paper
Vol.10 ,
Issue.3 , pp.1-6, Jun-2022
Online published on Jun 30, 2022
Copyright © Jeeva Jose, Vijo Mathew . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Jeeva Jose, Vijo Mathew, “Developmental Proposal of a Generic Architecture for Cognitive Internet of Things,” International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.3, pp.1-6, 2022.
MLA Style Citation: Jeeva Jose, Vijo Mathew "Developmental Proposal of a Generic Architecture for Cognitive Internet of Things." International Journal of Scientific Research in Computer Science and Engineering 10.3 (2022): 1-6.
APA Style Citation: Jeeva Jose, Vijo Mathew, (2022). Developmental Proposal of a Generic Architecture for Cognitive Internet of Things. International Journal of Scientific Research in Computer Science and Engineering, 10(3), 1-6.
BibTex Style Citation:
@article{Jose_2022,
author = {Jeeva Jose, Vijo Mathew},
title = {Developmental Proposal of a Generic Architecture for Cognitive Internet of Things},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {6 2022},
volume = {10},
Issue = {3},
month = {6},
year = {2022},
issn = {2347-2693},
pages = {1-6},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=2814},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=2814
TI - Developmental Proposal of a Generic Architecture for Cognitive Internet of Things
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - Jeeva Jose, Vijo Mathew
PY - 2022
DA - 2022/06/30
PB - IJCSE, Indore, INDIA
SP - 1-6
IS - 3
VL - 10
SN - 2347-2693
ER -
Abstract :
Cognitive science is developing in a faster pace and finding applications in science and technology. A cognitive network is a communication network that uses cognitive processes to understand present situations, make decisions based on its findings and take feedback from those decisions to take corrective actions. Cognitive computing uses computer models for simulating the human thought process. The Internet of Things (IoT) consists of “Things” which are networked for computation to take actions accordingly. The development of a cognitive network as well as that of cognitive computing can lead to the development of IoT that is cognitive. In this paper, we propose an architecture for cognitive IoT that is derived from cognitive network and cognitive computing.
Key-Words / Index Term :
Cognitive, Internet of Things, Network, Computing, Architecture
References :
[1] A. R. Hough, K.A. Gluck, “The Understanding Problem in Cognitive Science”, Advances in Cognitive Systems, Vol.8, pp. 13-32, 2021.
[2] C. Jin, “Relevance Between Artificial Intelligence and Cognitive Science”, In the Proceedings of International Symposium on Artificial Intelligence in Medical Sciences, Beijing, China, pp. 147-151, 2020.
[3] X. Han, Q. Du, “Interaction Between Big Data and Cognitive Science”, In the Proceedings of 2nd International Conference on Compute and Data Analysis, USA, pp. 1-5, 2018.
[4] D. Sarkar, H. Narayan, “Transport Layer Protocols for Cognitive Networks”, In the Proceedings of IEEE INFOCOM, USA, pp. 1-6, 2010.
[5] B. Benmammar et al., “Centralized Dynamic Spectrum Access in Cognitive Radio Networks Based on Cooperative and Non-Cooperative Game”, WSEAS Transactions on Communications, Vol. 13, pp. 148-161, 2020.
[6] M. Vu et al., “On the Primary Exclusive Region of Cognitive Networks”, IEEE Transactions on Wireless Communications, Vol. 8, Issue.7, pp. 3380 – 3385, 2020.
[7] H. Demirkan et al., “Cognitive Computing”, IEEE IT Professional, Vol. 19, Issue. 4, pp. 16-20, 2017.
[8] A. K. Noor, “Potential of Cognitive Computing and Cognitive Systems”, Open Engineering, Vol. 5, Issue. 1, pp. 75-88, 2021.
[9] S. K. Esser et al.,”Cognitive Computing Systems: Algorithms and Applications for Networks of Neurosynaptic Cores”, In the Proceedings of International Joint Conference on Neural Networks, USA, pp. 1-10, 2013.
[10] P. O. A. Haikonen, “The Role of Associative Processing in Cognitive Computing”, Cognitive Computation, Vol. 1, Issue. 1, pp. 42-49, 2009.
[11] K. Seemanthini, S.S. Manjunath, “Cognitive Computing for Human-Robot Interaction: Principles and Practices”, Academic Press, Elsevier, 2021.
[12] A. Newen, “What are cognitive processes? An example-based approach”, Synthese, Vol. 194, Issue. 11, pp. 4251–4268, 2021.
[13] Y. Zhao et al.,”Cognitive concept learning from incomplete information”, International Journal of Machine Learning & Cybernetics, Vol. 8, Issue. 4, pp. 159-170, 2020.
[14] L. M. Brasil et al., “Complexity and Cognitive Computing”, In the Proceedings of Industrial Engineering Applications of Artificial Intelligence and Expert Systems, Spain, pp. 408-411, 1998.
[15] S. Gupta et al., “Big data with cognitive computing: A review for the future”, International Journal of Information Management, Vol. 42, pp. 78-89, 2020.
[16] M. Coccoli et al., “The role of big data and cognitive computing in the learning process”, Journal of Visual Languages and Computing, Vol. 38, pp. 97-103, 2020.
[17] A. K. Sangaiah et al., “Big Data-Driven Cognitive Computing System for Optimization of Social Media Analytics”, IEEE Access, Vol. 8, pp. 82215-82226, 2020.
[18] N. Devroye et al., “Cognitive Radio Networks: Highlights of Information Theoretic Limits, Models and Design”, IEEE Signal Processing Magazine, Vol. 25, Issue. 6, pp. 12-23, 2021.
[19] P. Sutton et al., “A Reconfigurable Platform for Cognitive Networks”, In the Proceedings of International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Greece, pp. 1-5, 2006.
[20] Zahoor Ahmad Najar, Roohe Naaz Mir, “Bluetooth: Enabling Technology for IoT, Security issues and solutions”, International Journal of Scientific Research in Multidisciplinary Studies, Vol.7, Issue.7, pp.58-63, 2021.
[21] G. Ding et al., “An Amateur Drone Surveillance System Based on Cognitive Internet of Things”, IEEE Communications Magazine, Vol. 56, Issue. 1, pp. 29-35, 2018.
[22] Z. Chu et al., “Intelligent Reflecting Surfaces Enabled Cognitive Internet of Things Based on Practical Pathloss Model”, China Communications, Vol. 17, Issue. 12, pp. 1-16, 2020.
[23] S. Begum et al., “Source Routing for Distributed Big Data-Based Cognitive Internet of Things (CIoT)”, Wireless Communications and Mobile Computing, Vol. 2021, pp. 1-10, 2021.
[24] B. Alzahrani, W. Ejaz, “Resource Management for Cognitive IoT Systems with RF Energy Harvesting in Smart Cities”, IEEE Access, Vol. 6, pp. 62717-62727, 2020.
[25] K. Zaheer et al., “A Survey of Decision-Theoretic Models for Cognitive Internet of Things (CIoT)”, IEEE Access, Vol. 6, pp. 22489-22512, 2021.
[26] A. Afzal et al., “The Cognitive Internet of Things: A Unified Perspective. Mobile Networks and Applications”, White Rose Research, Vol. 20, Issue. 1, pp. 72-85, 2021.
[27] J. Wang et al., “Secure MISO Cognitive-Based Mobile Edge Computing With Wireless Power Transfer”, IEEE Access, Vol. 8, pp. 15518-15528, 2021.
[28] B. Liu et al., “Robust Secure Wireless Powered MISO Cognitive Mobile Edge Computing”, IEEE Access, Vol. 8, pp. 62356-62366, 2021.
[29] M. Chen et al., “A Dynamic Service Migration Mechanism in Edge Cognitive Computing”, ACM Transactions on Internet Technology, Vol. 19, Issue. 2, pp. 1-15, 2020.
[30] I. Sittón-Candanedo et al., “A review of edge computing reference architectures and a new global edge proposal”, Future Generation Computer Systems, Vol. 99, Issue. 3, pp. 278-294, 2021.
[31] S. Kr?o et al., “Designing IoT Architecture(s) A European Perspective “, In the Proceedings of IEEE World Forum on Internet of Things, Korea (South), pp. 79-84, 2014.
[32] J. O. Gutierrez-Garcia, E. López-Neri, “Cognitive Computing: A Brief Survey and Open Research Challenges”, In the Proceedings of Third International Conference on Applied Computing and Information Conference on Computational Science and Intelligence, Japan, pp. 328-333, 2015.
[33] Y. Wang, “Inference Algebra (IA): A Denotational Mathematics for Cognitive Computing and Machine Reasoning (I)”, International Journal of Cognitive Informatics and Natural Intelligence, Vol.5, Issue. 4, pp. 61-82, 2020.
[34] Y. Wang et al., “Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired Systems”, International Journal of Cognitive Informatics and Natural Intelligence, Vol. 10, Issue. 4, pp. 1-20, 2020.
[35] Mantripatjit Kaur, Anjum Mohd Aslam,”Big Data Analytics on IOT: Challenges, Open Research Issues and Tools”, International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.3, pp.81-85, 2018.
[36] Y. Yao, “Three-Way Decisions and Cognitive Computing”, Cognitive Computation, Vol. 8, Issue. 4, pp. 543-554, 2016.
[37] Y. Wang et al., “Cognitive Informatics and Cognitive Computing in Year 10 and Beyond”, International Journal of Cognitive Informatics and Natural Intelligence, Vol.5, No.4, pp. 1-21, 2020.
[38] A. Haldorai et al., “Editorial: Big Data Innovation for Sustainable Cognitive Computing”, Mobile Networks and Applications, Vol. 24, Issue. 1, pp. 221–223, 2021.
[39] S. Schuetz, V. Venkatesh, “Research Perspectives: The Rise of Human Machines: How Cognitive Computing Systems Challenge Assumptions of User-System Interaction”, Journal of the Association for Information Systems, Vol. 2, Issue.2, pp. 460-482, 2020.
[40] S. Wan et al., “Cognitive computing and wireless communications on the edge for healthcare service robots”, Computer Communications, Vol. 149, pp. 99-106, 2020.
[41] N. M. Patel et al., “Enhancing Next-Generation Sequencing-Guided Cancer Care Through Cognitive Computing”, The Oncologist, Vol. 23, Issue. 2, pp. 179–185, 2020.
[42] R. K. Behera et al., “The emerging role of cognitive computing in healthcare: A systematic literature review”, International Journal of Medical Informatics, Vol. 129, pp. 154-166, 2021.
[43] B. Warth et al., “Exposome-Scale Investigations Guided by Global Metabolomics, Pathway Analysis, and Cognitive Computing”, Analytical Chemistry, Vol. 89, Issue. 21, pp.11505-11513, 2020.
[44] Z. Lv, L. Qiao, “Deep belief network and linear perceptron based cognitive computing for collaborative robots”, Applied Soft Computing Journal, Vol. 92, Issue. 4, pp. 1-10, 2021.
[45] M. Coccoli et al., “Cognitive Computing in Education”, Journal of e-Learning and Knowledge Society, Vol. 12, Issue.2, pp. 55-69, 2021.
[46] M. Coccoli et al., “The role of big data and cognitive computing in the learning process”, Journal of Visual Languages and Computing, Vol. 38, pp. 97-103, 2020.
[47] D. Dessì et al., “Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections”, Computers in Human Behavior, Vol. 92, pp. 468-477, 2021.
[48] R. Preissl et al., “Compass: A scalable simulator for an architecture for Cognitive Computing”, In the Proceedings of International Conference on High Performance Computing, Networking, Storage and Analysis, USA, pp. 1-11, 2012.
[49] G. Wang, “DGCC: data-driven granular cognitive computing”, Granular Computing, Vol. 2, Issue. 1, pp. 343–355, 2020.
[50] M. Chen et al., “Cognitive Computing: Architecture, Technologies and Intelligent Applications”, IEEE Access, Vol. 6, pp. 19774-19783, 2021.
[51] J. O. Kephart and J. Lenchner, “A Symbiotic Cognitive Computing Perspective on Autonomic Computing”, In the Proceedings of 2015 IEEE International Conference on Autonomic Computing, France, pp. 109-114, 2015.
[52] L. B. Bhajantri, S. Gangadharaiah, “A Comprehensive Survey on Resource Management in Internet of Things”, Journal of Telecommunications and Information Technology, Vol. 4, Issue. 4, pp. 27-43, 2021.
[53] S.S.Somawanshi et al., “Cognitive Radio: An Intelligent Wireless Communication System”, International Journal of Innovative Research in Science, Engineering and Technology, Vol.5, Issue. 3, pp.3820-3828, 2016.
[54] N. Mansoor et al., “Cognitive Radio Ad-Hoc Network Architectures: A Survey”, Wireless Personal Communications: An International Journal, Vol. 8, Issue. 3, pp 1117–1142, 2020.
[55] A. A. Khan et al., “Cognitive-Radio-Based Internet of Things: Applications, Architectures, Spectrum Related Functionalities, and Future Research Direction”, IEEE Wireless Communications, Vol. 24, Issue. 3, pp. 17-25, 2020.
[56] F. A. Awin et al., “Technical Issues on Cognitive Radio-Based Internet of Things Systems: A Survey”, IEEE Access, Vol. 7, pp. 97887-97908, 2020.
[57] D. Kozlov et al., “Security and privacy threats in IoT architectures”, In the Proceedings of the Seventh International Conference on Body Area Networks, Norway, pp. 256–262, 2012.
[58] A. E. Al-Fagih et al., “A Priced Public Sensing Framework for Heterogeneous IoT Architectures”, IEEE Transactions on Emerging Topics in Computing, Vol. 1, Issue.1, pp. 133 – 147, 2020.
[59] J. Guth et al., "Comparison of IoT platform architectures: A field study based on a reference architecture," In the Proceedings of Cloudification of the Internet of Things, France, pp. 1-6, 2016.
[60] P.P. Ray, “A survey on Internet of Things architectures”, Journal of King Saud University – Computer and Information Sciences, Vol. 30, Issue 3, pp. 291-319, 2020.
[61] E. Cavalcante et al., “An Analysis of Reference Architectures for the Internet of Things”, In the Proceedings of the 1st International Workshop on Exploring Component-based Techniques for Constructing Reference Architectures, Canada, pp. 13-16, 2015.
[62] V. Gazis et al., "Short Paper: IoT: Challenges, projects, architectures", In the Proceedings of 18th International Conference on Intelligence in Next Generation Networks, France, pp. 145-147, 2015.
[63] Aditya Tiwary et al., ”Internet of Things (IoT): Research, Architectures and Applications”, International Journal on Future Revolution in Computer Science & Communication Engineering, Vol. 4, Issue. 3, pp. 23-27, 2018.
[64] H. Muccini et al., “Self-adaptive IoT Architectures”, In the Proceedings of European Conference on Software Architecture: Companion Proceedings”, Spain, pp. 1-6, 2018.
[65] A. Bassi et al., “IoT Reference Architecture- Enabling Things to Talk”, Springer, 2013.
[66] R. Herzog et al., “Semantic Interoperability in IoT-based Automation Infrastructures”, Automatisierungstechnik, Vol. 64, Issue. 9, pp. 742-749, 2020.
[67] M. Moghaddam et al., “Reference Architectures for Smart Manufacturing: A Critical Review”, Journal of Manufacturing Systems, Vol. 49, pp. 215-225, 2020.
[68] Wu et al., "Cognitive Internet of Things: A New Paradigm Beyond Connection," IEEE Internet of Things Journal, Vol. 1, Issue. 2, pp. 129-143, 2020.
[69] J. Park et al., “CIoT?Net: a scalable cognitive IoT based smart city network architecture”, Human Centric Computing and Information Sciences, Vol. 9, pp. 1-20, 2020.
[70] A. Grguric, “Reference Architectures, Platforms, and Pilots for European Smart and Healthy Living—Analysis and Comparison”, Electronics, Vol. 10, Issue. 14, pp. 1-25.
[71] M. S. H. Sassi et al., “A New Architecture for Cognitive Internet of Things and Big Data”, Procedia Computer Science, Vol. 159, pp. 534-543, 2021.
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