A Novel Lucas-based Clustering Optimization for Enhancing Survivability in Smart Home Design

Authors

  • Kanaka Raju Rajana Department of Computer Science and Engineering, GST, GITAM University, Visakhapatnam, India
  • Shanmuk Srinivas Amiripalli Department of Computer Science and Engineering, GST, GITAM University, Visakhapatnam, India
Volume: 15 | Issue: 1 | Pages: 19903-19909 | February 2025 | https://doi.org/10.48084/etasr.9232

Abstract

This study presents a novel Lucas-based topology optimization framework to enhance network survivability in smart homes, particularly against random node failures. As the proliferation of interconnected devices in the Internet of Things (IoT) environments increases, so does the vulnerability of these networks to node failures, which can significantly disrupt connectivity and functionality. By integrating the mathematical properties of Lucas numbers with advanced graph theory concepts, specifically the Trimet Graph Optimization (TGO) model, this framework systematically addresses the challenges posed by random node failures. The proposed model optimizes network topologies to ensure robust connectivity and resilience, allowing smart home networks to maintain operational integrity even under adverse conditions. Simulations and theoretical analyses demonstrate the effectiveness of this approach, highlighting its potential to improve the reliability of smart home networks.

Keywords:

topology optimization, survivability, random node failures, Lucas model, TGO model

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References

Y. Li, S. Xie, Z. Wan, H. Lv, H. Song, and Z. Lv, "Graph-powered learning methods in the Internet of Things: A survey," Machine Learning with Applications, vol. 11, Mar. 2023, Art. no. 100441.

A. Majeed and I. Rauf, "Graph Theory: A Comprehensive Survey about Graph Theory Applications in Computer Science and Social Networks," Inventions, vol. 5, no. 1, Feb. 2020, Art. no. 10.

S. V. Siva Rama Raju and S. S. Amiripalli, "Analysis of Survivable Wireless IoT Meshes Using Graph Invariant Technique," in Intelligent Systems and Sustainable Computing, Hyderabad, India, 2023, pp. 545–555.

C. Chekuri and R. Jain, "Approximation Algorithms for Network Design in Non-Uniform Fault Models." arXiv, Mar. 22, 2024.

N. T. Linh, "A Novel Combination of Genetic Algorithm, Particle Swarm Optimization, and Teaching-Learning-Based Optimization for Distribution Network Reconfiguration in Case of Faults," Engineering, Technology & Applied Science Research, vol. 14, no. 1, pp. 12959–12965, Feb. 2024.

A. Chatterjee, C. Helbig, R. Malak, and A. Layton, "A Comparison of Graph-Theoretic Approaches for Resilient System of Systems Design," Journal of Computing and Information Science in Engineering, vol. 23, no. 3, Apr. 2023, Art. no. 030906.

Z. N. Berberler and A. Aytaç, "Node and Link Vulnerability in Complete Multipartite Networks," International Journal of Foundations of Computer Science, vol. 35, no. 04, pp. 375–385, Jun. 2024.

S. Ghosh, "AdHocVDew: Graph Theory Based Dew Enabled 5G Vehicular Ad Hoc Network," Mobile Networks and Applications, Jan. 2024.

D. A. N. Yalal and D. A. Vangeri, "Modern Developments In Graph Theory For Computer Technologies," Computer Integrated Manufacturing Systems, vol. 30, no. 7, pp. 47–56, Jul. 2024.

Z. A. Khan, M. Awais, T. A. Alghamdi, and N. Javaid, "Employing topology modification strategies in scale-free IoT networks for robustness optimization," Computing, vol. 106, no. 6, pp. 1845–1872, Jun. 2024.

I. Sohn, "Small-World and Scale-Free Network Models for IoT Systems," Mobile Information Systems, vol. 2017, no. 1, 2017, Art. no. 6752048.

M. Elappila and S. Chinara, "Implementation of survivability aware protocols in WSN for IoT applications using Contiki-OS and hardware testbed evaluation," Microprocessors and Microsystems, vol. 104, Feb. 2024, Art. no. 104988.

S. S. Amiripalli and V. Bobba, "Trimet graph optimization (TGO) based methodology for scalability and survivability in wireless networks," International Journal of Advanced Trends in Computer Science and Engineering, vol. 8, no. 6, pp. 3454–3460, 2019.

M. Asif, M. Prabha, P. S. Srinivasan, and S. Prabagaran, "Optimized Spherical Network for Clustering based Fault-Tolerant and Reliable Routing in IoT-Enabled WSNs," in 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, Oct. 2024, pp. 657–662.

R. Kanakaraju, L. V, S. S. Amiripalli, S. P. Potharaju, and R. Chandrasekhar, "An Image Encryption Technique Based on Logistic Sine Map and an Encrypted Image Retrieval Using DCT Frequency," in Recent Trends in Intensive Computing, IOS Press, 2021, pp. 1–8.

M. Alanazi, R. S. Aldahr, and M. Ilyas, "Human Activity Recognition through Smartphone Inertial Sensors with ML Approach," Engineering, Technology & Applied Science Research, vol. 14, no. 1, pp. 12780–12787, Feb. 2024.

P. Uma and P. V. Lakshmi, "A Study on Blockchain Technology for the Future E-Voting Systems," in Computer Science Engineering and Emerging Technologies: Proceedings of ICCS 2022, Jun. 2024.

S. S. Amiripalli and V. Bobba, "A Fibonacci based TGO methodology for survivability in ZigBee topologies," International Journal of Scientific & Technology Research, vol. 9, no. 2, pp. 878–881, 2020.

F. Flammini, "Resilience in Cyber-Physical Systems," in Encyclopedia of Cryptography, Security and Privacy, S. Jajodia, P. Samarati, and M. Yung, Eds. Springer, 2019, pp. 1–3.

K. Echefaj, A. Cherrafi, A. Charkaoui, T. Gruchmann, and D. Ivanov, "Firm survivability during long-term disruptions: an adaptation-based view," Supply Chain Management: An International Journal, vol. 29, no. 6, pp. 978–995, Aug. 2024.

A. A. Tera, A. Alzubi, and K. Iyiola, "Supply chain digitalization and performance: A moderated mediation of supply chain visibility and supply chain survivability," Heliyon, vol. 10, no. 4, Feb. 2024.

V. Tiwari, A. Keskar, and N. C. Shivaprakash, "Design of an IoT Enabled Local Network Based Home Monitoring System with a Priority Scheme," Engineering, Technology & Applied Science Research, vol. 7, no. 2, pp. 1464–1472, Apr. 2017.

A. A. Alzhrani, M. Balfaqih, F. Alsenani, M. Alharthi, A. Alshehri, and Z. Balfagih, "Design and Implementation of an IoT-Integrated Smart Locker System utilizing Facial Recognition Technology," Engineering, Technology & Applied Science Research, vol. 14, no. 4, pp. 16000–16010, Aug. 2024.

H. Alkhudhayr and A. Subahi, "Vehicle-to-Home: Implementation and Design of an Intelligent Home Energy Management System that uses Renewable Energy," Engineering, Technology & Applied Science Research, vol. 14, no. 4, pp. 15239–15250, Aug. 2024.

N. U. Huda, I. Ahmed, M. Adnan, M. Ali, and F. Naeem, "Experts and intelligent systems for smart homes’ Transformation to Sustainable Smart Cities: A comprehensive review," Expert Systems with Applications, vol. 238, Mar. 2024, Art. no. 122380.

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How to Cite

[1]
Raju Rajana, K. and Amiripalli, S.S. 2025. A Novel Lucas-based Clustering Optimization for Enhancing Survivability in Smart Home Design. Engineering, Technology & Applied Science Research. 15, 1 (Feb. 2025), 19903–19909. DOI:https://doi.org/10.48084/etasr.9232.

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