Evaluation of Designing Techniques for Reliability of Internet of Things (IoT)

Evaluation of Designing Techniques for Reliability of Internet of Things (IoT)

  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-8
Year of Publication : 2023
Author : Khushwant Singh, Yudhvir Singh, Dheerdhwaj Barak, Mohit Yadav
DOI : 10.14445/22315381/IJETT-V71I8P209

How to Cite?

Khushwant Singh, Yudhvir Singh, Dheerdhwaj Barak, Mohit Yadav, "Evaluation of Designing Techniques for Reliability of Internet of Things (IoT)," International Journal of Engineering Trends and Technology, vol. 71, no. 8, pp. 102-118, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I8P209

Abstract
Reliability of Internet of Things seeks out beneficial problems by presenting, resolving, and certifying them. Preparations are essential in addition to offering IoT responsiveness for the huge preparation of advances in the Internet of Things in all domains of society. The purpose of this study is to propose, examine, and explore surveys in planned works and their future rights based on the results of the IoT in this particular case. IoT's fundamental critical components are the usage of repeating devices that maximise the benefits of mobile phones, sensors, as well as actuators. Networking, along with other formula-based assessments, has amplified node-to-node connectivity at different levels in terms of IoT reliability. In the present study work, dependability metrics and models have undergone a rigorous assessment. Evaluation of work analysis and future prospective of different research articles in the detailed view of the reliability of the Internet of Things. A Novel model for reliability technique is being proposed, which qualifies the accuracy, and precision using various machine learning algorithms can be used. The measurement of reliability in the IoT provides several study avenues as a result of this thorough investigation. Despite the sensitive nature of the research field, studies that access models of IoT dependability are now communicating widely.

Keywords
Reliability, Internet of Things, Network reliability, Fault tree.

References
[1] Houda Lhore et al., “Blockchain Technology as a Possible Solution to IoT Security Issues,” International Journal of Engineering Trends and Technology, vol. 71, no. 1, pp. 152-163, 2023.
[CrossRef] [Publisher Link]
[2] Kazim Ergun et al., “RelIoT: Reliability Simulator for IoT Networks,” Internet of Things-ICIOT 2020: 5th International Conference, Held as Part of the Services Conference Federation, SCF 2020, Springer International Publishing, Honolulu, HI, USA, 2020, pp. 63-81, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Samuel J. Moore et al., “IoT Reliability: A Review Leading to 5 Key Research Directions,” CCF Transactions on Pervasive Computing and Interaction, vol. 2, pp. 147-163, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Mohit Yadav, “A Review on Piezoelectric Energy Harvesting Systems based on Different Mechanical Structures,” International Journal of Enhanced Research in Science, Technology & Engineering, vol. 9, no. 1, pp. 1-7, 2020.
[Google Scholar] [Publisher Link]
[5] Marcantonio Catelani et al., “Reliability Analysis of Wireless Sensor Network for Smart Farming Applications,” Sensors, vol. 21, no. 22, p. 7683, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Zhaoyi Xu, and Joseph Homer Saleh, “Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities,” Reliability Engineering & System Safety, vol. 211, p. 107530, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Liudong Xing et al., “Reliability Modeling of Mesh Storage Area Networks for Internet of Things,” IEEE Internet of Things Journal, vol. 4, no. 6, pp. 2047-2057, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Nourhene Maalel et al., "Reliability for Emergency Applications in Internet of Things," IEEE International Conference on Distributed Computing in Sensor Systems, Cambridge, MA, USA, pp. 361-366, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Liudong Xing, “Reliability in Internet of Things: Current Status and Future Perspectives,” IEEE Internet of Things Journal, vol. 7, no. 8, pp. 6704-6721, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Anand Singh Rajawat et al., “Reliability Analysis in Cyber-Physical System using Deep Learning for Smart Cities Industrial IoT Network Node,” AI and IoT for Smart City Applications, pp. 157-169, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[11] M. Sandelic et al., “Reliability Aspects in Microgrid Design and Planning: Status and Power Electronics-Induced Challenges,” Renewable and Sustainable Energy Reviews, vol. 159, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Xue-Qin Li, Lu-Kai Song, and Guang-Chen Bai, “Recent Advances in Reliability Analysis of Aeroengine Rotor System: A Review,” International Journal of Structural Integrity, vol. 13, no. 1, pp. 1-29, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[13] S. Kholmirzayev et al., “Calculation of Reinforced Concrete Structures of Buildings Based on the Theory of Reliability,” Science and Innovation, vol. 1, no. A8, pp. 1027-1032, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Heping Jia et al., “Reliability Evaluation of Demand-Based Warm Standby Systems with Capacity Storage,” Reliability Engineering & System Safety, vol. 218, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Mohammed Hamouda Ali et al., “An Improved Wild Horse Optimization Algorithm for Reliability based Optimal DG Planning of Radial Distribution Networks,” Energy Reports, vol. 8, pp. 582-604, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Mohit Yadav et al., “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, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Ming-Yang Su, “Real-Time Anomaly Detection Systems for Denial-of-Service Attacks by Weighted K-Nearest-Neighbor Classifiers,” Expert Systems with Applications, vol. 38, no. 4, pp. 3492-3498, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Gang Kou et al., “Reliability of a Distributed Data Storage System Considering the External Impacts,” IEEE Transactions on Reliability, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Adam Hulme et al., “Testing the Reliability and Validity of Risk Assessment Methods in Human Factors and Ergonomics,” Ergonomics, vol. 65, no. 3, pp. 407-428, 2022. [CrossRef] [Google Scholar] [Publisher Link]
[20] Chunling Luo, Lijuan Shen, and Ancha Xu, “Modelling and Estimation of System Reliability under Dynamic Operating Environments and Lifetime Ordering Constraints,” Reliability Engineering & System Safety, vol. 218, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Wei-Chang Yeh et al., “Novel Binary Addition Tree Algorithm (BAT) for Calculating the Direct Lower-Bound of the Highly Reliable Binary-State Network Reliability,” Reliability Engineering & System Safety, vol. 223, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Jari Metsämuuronen, “Attenuation-Corrected Estimators of Reliability,” Applied Psychological Measurement, vol. 46, no. 8, pp. 720-737, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Herwin Herwin et al., “Do Scoring Techniques and Number of Choices Affect the Reliability of Multiple-Choice Tests in Elementary Schools,” Cypriot Journal of Educational Sciences, vol. 17, no. 4, pp. 1258-1268, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Abebe Abeshu, and Naveen Chilamkurti, “Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing,” IEEE Communications Magazine, vol. 56, no. 2, pp. 169-175, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Nanda Kumar Thanigaivelan et al., “Distributed Internal Anomaly Detection System for Internet-of-Things,” 13th IEEE Annual Consumer Communications & Networking Conference, IEEE, pp. 319-320, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Mohit Yadav et al., “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, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Ruoyu Zhang et al., “Integrated Sensing and Communication Waveform Design with Sparse Vector Coding: Low Sidelobes and Ultra Reliability,” IEEE Transactions on Vehicular Technology, vol. 71, no. 4, pp. 4489-4494, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Mohammad Najafzadeh, Farshad Homaei, and Sedigheh Mohamadi, “Reliability Evaluation of Groundwater Quality Index Using Data-Driven Models,” Environmental Science and Pollution Research, vol. 29, no. 6, pp. 8174-8190, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Mohit Yadav et al., “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, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Chayapol Kamyod, “End-to-End Reliability Analysis of an IoT Based Smart Agriculture,” International Conference on Digital Arts, Media and Technology, IEEE, pp. 258-261, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Mostafa Kazemi, and Mohammad Reza Ansari, “An Integrated Transmission Expansion Planning and Battery Storage Systems Placement-A Security and Reliability Perspective,” International Journal of Electrical Power & Energy Systems, vol. 134, p. 107329, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Georgios Spanos et al., “Combining Statistical and Machine Learning Techniques in IoT Anomaly Detection for Smart Homes,” IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, IEEE, pp. 1-6, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Sajad Saraygord Afshari et al., “Machine Learning-Based Methods in Structural Reliability Analysis: A Review,” Reliability Engineering & System Safety, vol. 219, p. 108223, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Ashish Kaushik et al., “Advanced 3D Body Scanning Techniques and its Clinical Application,” International Conference on Computational Modeling, Simulation and Optimization, IEEE, pp. 352-358, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[35] Aurora González-Vidal, Jesús Cuenca-Jara, and Antonio F. Skarmeta, “IoT for Water Management: Towards Intelligent Anomaly Detection,” IEEE 5th World Forum on Internet of Things, IEEE, pp. 858-863, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Mohit Yadav et al., “Modeling and Optimization of Piezoelectric Energy Harvesting System under Dynamic Loading,” Advances in Fluid and Thermal Engineering, Springer, Singapore, pp. 339-353, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[37] I. Lakshmi, "Security Analysis in Internet of Things Using DDoS Mechanisms," SSRG International Journal of Mobile Computing and Application, vol. 6, no. 1, pp. 19-24, 2019.
[CrossRef] [Publisher Link]
[38] Songyuan Li, and Jiwei Huang, “GSPN-based Reliability-Aware Performance Evaluation of IoT Services,” IEEE International Conference on Services Computing, IEEE, pp. 483-486, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[39] Mannu Yadav et al., “Enhancing Dimensional Accuracy of Small Parts through Modelling and Parametric Optimization of the FDM 3D Printing Process using GA-ANN,” International Conference on Computational Modelling, Simulation and Optimization, IEEE, pp. 89-94, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[40] Khushwant Singh, Dheerdhwaj Barak, and Yudhvir Singh, “Reviewing the IOT Systems Reliability and Accuracy,” The Pharma Innovation Journal, vol. 12, no. 3, pp. 2775-2780. [Google Scholar] [Publisher Link]
[41] Sabrina Sicari et al., “A Security-and Quality-Aware System Architecture for Internet of Things,” Information Systems Frontiers, vol. 18, pp. 665-677, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[42] Sabrina Sicari et al., “A Secure and Quality-Aware Prototypical Architecture for the Internet of Things,” Information Systems, vol. 58, pp. 43-55, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[43] Himanshu Sawle, and Sandeep Parmar, "Restricted Area Security System based on IOT," SSRG International Journal of Electronics and Communication Engineering, vol. 5, no. 11, pp. 15-16, 2018.
[CrossRef] [Publisher Link]
[44] Khushwant Singh, Dheerdhwaj Barak, and Yudhvir Singh, “IoT Chatbot in Insurance,” International Journal of Engineering, Management, Humanities and Social Sciences Paradigms, vol. 33, no. 1, pp. 12-16, 2021.
[Publisher Link]
[45] Mohit Yadav et al., “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, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[46] Hitesh Kumar Sharma et al., “IoT Based Automatic Electric Appliances Controlling Device based on Visitor Counter,” International Journal of Psychosocial Rehabilitation, vol. 10, no. 24, pp. 4186-4196, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[47] Mohit Yadav, and Dinesh Yadav, “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. 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[48] Sven Nõmm, and Hayretdin Bahşi, “Unsupervised Anomaly based Botnet Detection in IoT Networks,” 17th IEEE International Conference on Machine Learning and Applications, IEEE, pp. 1048-1053, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[49] Mi Kim, “A Quality Model for Evaluating IoT Applications,” International Journal of Computer and Electrical Engineering, vol. 8, no. 1, pp. 66, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[50] Bardia Safaei et al., “Reliability Side-Effects in Internet of Things Application Layer Protocols,” 2nd International Conference on System Reliability and Safety, IEEE, pp. 207-212, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[51] Yi Lyu, and Peng Yin, “Internet of Things Transmission and Network Reliability in Complex Environment,” Computer Communications, vol. 150, pp. 757-763, 2020. [CrossRef] [Google Scholar] [Publisher Link]
[52] Lixing Li et al., “Modeling and Analyzing the Reliability and Cost of Service Composition in the IoT: A Probabilistic Approach,” IEEE 19th International Conference on Web Services, Honolulu, HI, USA, pp. 584-591, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[53] R. Raghu Nandan, and N. Nalini, “An Efficient Approach for Discovering Objects in the Internet of Things using Clue-Based Search Engine,” International Journal of Engineering Trends and Technology, vol. 71, no. 3, pp. 282-294, 2023.
[CrossRef] [Publisher Link]
[54] S. Karthikeyan, and T. Poongodi, “Secure and Optimized Communication in the Internet of Things using DNA Cryptography with X.509 Digital Attributes,” International Journal of Engineering Trends and Technology, vol. 71, no. 3, pp. 1-8, 2023.
[CrossRef] [Publisher Link]
[55] A. Kaleel Ahmed, C. B. Senthilkumar, and S. Nallusamy, “Study on Amalgamation of Internet of Things in Industrial Applications,” International Journal of Mechanical and Production Engineering Research and Development, vol. 8, no. 1, pp. 1279-1286, 2018.
[Google Scholar] [Publisher Link]
[56] Soraya Sinche et al., “Assessing Redundancy Models for IoT Reliability,” IEEE 19th International Symposium on “A World of Wireless, Mobile and Multimedia Networks," pp. 14-15, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[57] Akash Ahlawat et al., “Fabrication and Analysis of ABS-HDPE-PC Composite Polymer Filament Used for FDM Printing Using Hybrid Algorithm,” International Journal on Interactive Design and Manufacturing, pp. 1-11, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[58] Krishna Yadav et al., “Effect of Speed, Acceleration, and Jerk on Surface Roughness of FDM-Fabricated Parts,” Journal of Materials Engineering and Performance, 2023. [CrossRef] [Google Scholar] [Publisher Link]
[59] Khushwant Singh et al., “Comparative Performance Analysis and Evaluation of Novel Techniques in Reliability for Internet of Things with RSM,” International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 9s, pp. 330-341, 2023.
[Google Scholar] [Publisher Link]
[60] K. Singh et al., “Parametric Evaluation Techniques for Reliability of Internet of Things (Iot),” International Journal of Computational Methods and Experimental Measurements, vol. 41, no. 2, pp. 123-134, 2023. [CrossRef]
[61] Kiran Sood et al., “Identification of Asymmetric DDoS Attacks at Layer 7 with Idle Hyperlink,” ECS Transactions, vol. 107, no. 1, p. 2171, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[62] Sandeep Bhatia et al., “A Comprehensive Review of IoT Reliability and its Measures: Perspective Analysis,” Handbook of Research on Machine Learning-Enabled IoT for Smart Applications across Industries, pp. 365-384, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[63] Ashish Kaushik et al., “Optimization of Process Parameters for Scanning Human Face using Hand-Held Scanner,” Research Square, 2022.
[CrossRef] [Google Scholar] [Publisher Link]