Comparative Performance Analysis and Evaluation of Novel Techniques in Reliability for Internet of Things with RSM
Keywords:
IoT, RSM, Reliability of Internet of Things, J48, SVM-RBFAbstract
Future smart cities are predicted to benefit significantly from the Internet of Things (IoT) in terms of sustainable development. The variety of connected things and the unreliability of related services are only two of the major problems this paper discusses that may hinder IoT from fulfilling this essential function. An intellectual management structure for IoT is proposed for solving these problems. In this framework, constantly shifting real-world objects are depicted within a virtual environment, as well as cognition, as well as closeness, are used to automatically and intelligently choose the objects that are most pertinent to a given application. Novel Analysis of different techniques of Reliability of the Internet of Things using RSM has been designed through design expert software with different parameters are runs over 13-fold cross-validation gives results of accuracy of more than 97 percent, desirability is 1.00 as compared to the J48 algorithm and SVM-RBF.
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R. Roman, J. Zhou, and J. Lopez, (2013) “On the features and challenges of security and privacy in distributed internet of things,” Computer networks, vol. 57, no. 10, pp. 2266-2279.
J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, (2013) “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future generation computer systems, vol. 29, no. 7, pp. 1645-1660.
S. R. Peppet, (2014) “Regulating the internet of things: first steps toward managing discrimination,” Privacy, security and consent. Tex. L. Rev., vol. 93, p. 85.
Z. Cheng, J. Wang, T. Huang, P. Li, N. Yen, J. Tsai, Y. Zhou and L. Jing, (2014) “A situation-oriented IoT middleware for resolution of conflict contexts based on combination of priorities,” In Advanced Technologies, Embedded and Multimedia for Human-centric Computing: HumanCom and EMC 2013 (pp. 441-454). Springer Netherlands.
G. Suarez-Tangil, J. E. Tapiador, P. Peris-Lopez, and A. Ribagorda, (2013) “Evolution, detection and analysis of malware for smart devices,” IEEE Communications Surveys & Tutorials, vol. 16, no. 2, pp. 961-987.
A. Kanso, M. Toeroe, and F. Khendek, (2014) “Comparing redundancy models for high availability middleware,” Computing, vol. 96, pp. 975-993.
U. Franke, P. Johnson, & J. König, (2014) “An architecture framework for enterprise IT service availability analysis,” Software & Systems Modeling, vol. 13, pp.1417-1445.
S. S. Patil, A. Mihovska, and R. Prasad, (2014) “An IoT virtualization framework for fast and lossless communication,” Wireless personal communications, vol. 76, pp. 449-462.
L. Atzori, A. Iera, and G. Morabito, (2010) “The internet of things: A survey. Computer networks,” vol. 54, no. 15, pp. 2787-2805.
S. R. Chatterjee, V. K. Shukla, L. Wanganoo, and S. Dubey, (2021) “Transforming Supply chain Management through Industry 4.0,” In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) (pp. 1-6). IEEE.
A. Jacobsson, P. Davidsson, (2015, December) “Towards a model of privacy and security for smart homes,” In 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT) (pp. 727-732). IEEE.
N. J. Kanu, A. Lal (2022) “Nonlinear static analysis of CNT/nanoclay particles reinforced polymer matrix composite plate using secant function-based shear deformation theory,” Smart Science, vol. 10, no.4, pp.301-312.
M. Yadav, D. Yadav, S. Kumar, R. K. Garg, and D. Chhabra, (2019) “Experimental & mathematical modeling and analysis of piezoelectric energy harvesting with dynamic periodic loading,” International Journal of Recent Technology and Engineering, vol. 8, no. 3, pp. 6346-6350. https://rb.gy/gypbdt.
M. Yadav, (2020) “A review on piezoelectric energy harvesting systems based on different mechanical structures,” International Journal of Enhanced Research in Science Technology and Engineering, vol. 9, no. 1, pp.1-7. https://rb.gy/w8mdzx.
M. Yadav, D. Yadav, S. Kumar, and D. Chhabra, (2021) “State of art of different kinds of fluid flow interactions with piezo for energy harvesting considering experimental, simulations and mathematical modeling,” Journal of Mathematical and Computational Science, vol. 11, no. 6, pp. 8258-8287, https://rb.gy/3kwfzh.
R. Vieira, E. Argento, and T. Revoredo, (2021) “Trajectory Planning For Car-like Robots Through Curve Parametrization And Genetic Algorithm Optimization With Applications To Autonomous parking,” IEEE Latin America Transactions, vol. 20, no. 2, pp. 309-316.
M. Yadav, and D. Yadav, (2019) “Micro Energy Generation in Different Kinds of Water Flows on Lead Zirconium Titanate/PVDF,” International Journal of R & D in Engineering, Science and Management, vol. 9, no. 5, pp. 1-8, https://rb.gy/nybsqd.
S. Sinche, J. S. Silva, D. Raposo, A. Rodrigues, V. Pereira, and F. Boavida, (2018) “Towards effective iot management,” IEEE Sensors, pp. 1-4.
A. Ahlawat, A. Phogat, M. Yadav, R. K. Sahdev, A. K. Dhingra, and D. Chhabra, (2023) “Fabrication and analysis of ABS-HDPE-PC composite polymer filament used for FDM printing using hybrid algorithm,” International Journal on Interactive Design and Manufacturing (IJIDeM), pp. 1-11. https://doi.org/10.1007/s12008-023-01389-3
M. Yadav, D. Yadav, R. K. Garg, R. K. Gupta, S. Kumar, and D. Chhabra, (2021) “Modeling and optimization of piezoelectric energy harvesting system under dynamic loading,” In Advances in Fluid and Thermal Engineering, pp. 339-353, Springer, Singapore.
A. Kaushik, U. Punia, R. K. Garg, M. Yadav, R. Vashistha, M. Rathee, R. K. Sahdev, and D. Chhabra, (2022) “Optimization of process parameters for scanning human face using hand-held scanner,”.
M. Yadav, A. Kaushik, R. K. Garg, M. Yadav, D. Chhabra, S. Rohilla, and H. Sharma, (2022) “Enhancing dimensional accuracy of small parts through modelling and parametric optimization of the FDM 3D printing process using GA-ANN,” In 2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO), IEEE, pp. 89-94, https://doi.org/10.1109/ICCMSO58359.2022.00030.
M. Yadav, S. Kumar, A. Kaushik, and D., Chhabra, (2022) “Piezo‑beam Structure in a Pipe with Turbulent Flow as Energy Harvester: Mathematical Modeling and Simulation,” Journal of The Institution of Engineers (India): Series D, Springer, https://doi.org/10.1007/s40033-022-00440-z
M. Yadav, S. Kumar, A. Kaushik, R. K. Garg, A. Ahlawat, and D. Chhabra, (2023) “Modeling and simulation of piezo-beam structure mounted in a circular pipe using laminar flow as energy harvester,” International Journal of Engineering Trends and Technology, vol. 71, no. 2, pp. 296-314, https://ijettjournal.org/Volume-71/Issue-2/IJETT-V71I2P232.pdf
I. V. Sita, and P. Dobra, (2014) “KNX building automations interaction with city resources management system,” Procedia Technology, vol. 12, pp. 212-219.
P. Kumar, S. Taneja, E. Özen, S. Singh, (2023) “Artificial Intelligence and Machine Learning in Insurance: A Bibliometric Analysis,” In Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy, Emerald Publishing Limited, pp. 191-202.
D. S. Nunes, P. Zhang, and J. S. Silva, (2015) “A survey on human-in-the-loop applications towards an internet of all,” IEEE Communications Surveys & Tutorials, vol. 17, no. 2, pp. 944-965.
C. M. Veillette, A. Pelov, A. Bierman, and I. Petrov, (2018) “CoAP Management Interface (draft-ietf-core-comi-04), pp. 1-56.
A. Kaushik, S. Gahletia, R. K. Garg, P. Sharma, D. Chhabra, and M. Yadav, (2022) “Advanced 3D body scanning techniques and its clinical applications,” In 2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO), IEEE, pp. 352-358, https://doi.org/10.1109/ICCMSO58359 .2022.00074.
J. Techel, X. Zhao, P. Talasila, Q. Zhang, and D. E. Lucani, (2019) “Demonstration of reliable IoT distributed storage using network codes,” In 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC), pp. 1-2, IEEE.
L. Georgios, S. Kerstin, and A. Theofylaktos (2019) “Internet of things in the context of industry 4.0: An overview,”.
N. A. Farooqui, A. K. Mishra, and R. Mehra, (2022). IOT based automated greenhouse using machine learning approach. International Journal of Intelligent Systems and Applications in Engineering, vol. 10, no. 2, pp. 226-231. https://ijisae.org/index.php/IJISAE/article/view/1522
A. Sharma, S. R. Biradar, H. K. D. Sarma, and N. P. Rana, (2022) “Blockchain-based Internet of Things (IoT) for healthcare systems: COVID-19 perspective,” Healthcare Monitoring and Data Analysis Using IoT: Technologies and Applications, vol. 38, pp. 355.
R. K. Suggala, M. V. Krishna, and S. K. Swain, (2022) “Reliable Epidemic Outbreak Prevention in Opportunistic IoT Based On Optimized Block Chain,” International Journal of Intelligent Systems and Applications in Engineering, vol. 10, no. 3, pp. 305-313.
A. Singla, and Sharma, A. (2021) “IoT Crypt–An Intelligent System for Securing IoT Devices Using Artificial Intelligence and Machine Learning,” In Artificial Intelligence and Global Society, Chapman and Hall/CRC, pp. 161-174.
Ashok Kumar, L. ., Jebarani, M. R. E. ., & Gokula Krishnan, V. . (2023). Optimized Deep Belief Neural Network for Semantic Change Detection in Multi-Temporal Image. International Journal on Recent and Innovation Trends in Computing and Communication, 11(2), 86–93. https://doi.org/10.17762/ijritcc.v11i2.6132
Pérez, C., Pérez, L., González, A., Gonzalez, L., & Ólafur, S. Personalized Learning Paths in Engineering Education: A Machine Learning Perspective. Kuwait Journal of Machine Learning, 1(1). Retrieved from http://kuwaitjournals.com/index.php/kjml/article/view/107
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