Tuna-Osprey Optimization for Energy Efficient Cluster-based Routing: Modified Deep Learning for Node's Energy Prediction

Authors

  • Gopala T, Raviram V

Keywords:

Network lifetime maximization, Tuna Osprey Optimization (TOO), Modified DL, M-LSTM, Link lifetime, optimal CHS

Abstract

The main consideration of WSN design is maximization of the network lifetime. It is proven that the effective balancing of network energy consumption along with the maximization of network lifetime can be performed by clustering and routing approaches. Accordingly, a new Tuna Osprey Optimization algorithm for energy-efficient cluster-based routing has been developed in this work. This approach includes 2 working phases: clustering and routing process. Initially, a modified DL model named M-LSTM is proposed for predicting the node’s energy. Subsequently clustering process is carried out by the TOO algorithm, which considers the energy, link lifetime, distance, trust, and delay as constraints for the selection of optimal CH. Finally, with the same TOO algorithm, the routing process is conducted, which considers the link quality as the constraint to provide optimal routing. Results proved that the proposed TOO for energy-efficient cluster-based routing can reduce energy utilization while attaining maximum network lifetime.

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References

N. A. Prasad and C. D. Guruprakash, "An ephemeral investigation on energy proficiency mechanisms in WSN," 2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), Tumkur, 2017, pp. 180-185.

P. N and C. D. Guruprakash, "A Relay Node Scheme for Energy Redeemable and Network Lifespan Enhancement," 2018 4th International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), Mangalore, India, 2018, pp. 266-274.

Achyutha Prasad, N., Guruprakash, C.D., 2019. A relay node scheme of energy redeemable and network lifespan enhancement for wireless sensor networks and its analysis with standard channel models. International Journal of Innovative Technology and Exploring Engineering 8, 605–612.

Rekha, V.S., Siddaraju (2023). Goodness Ratio and Throughput Improvement Using Multi-criteria LEACH Method in Group Sensing Device Network. In: Kumar, A., Senatore, S., Gunjan, V.K. (eds) ICDSMLA 2021. Lecture Notes in Electrical Engineering, vol 947. Springer, Singapore. https://doi.org/10.1007/978-981-19-5936-3_50.

Achyutha Prasad, N., Guruprakash, C.D., 2019. A relay mote wheeze for energy saving and network longevity enhancement in WSN. International Journal of Recent Technology and Engineering 8, 8220–8227. doi:10.35940/ijrte.C6707.098319.

Nirmala, G., Guruprakash, C.D. (2023). An Overview of Data Aggregation Techniques with Special Sensing Intelligent Device Selection Approaches. In: Kumar, A., Senatore, S., Gunjan, V.K. (eds) ICDSMLA 2021. Lecture Notes in Electrical Engineering, vol 947. Springer, Singapore. https://doi.org/10.1007/978-981-19-5936-3_58.

Achyutha Prasad, N., Guruprakash, C.D., 2019. A two hop relay battery aware mote scheme for energy redeemable and network lifespan improvement in WSN. International Journal of Engineering and Advanced Technology 9, 4785–4791. doi:10.35940/ijeat.A2204.109119.

R. V S and Siddaraju, "Defective Motes Uncovering and Retrieval for Optimized Network," 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), 2022, pp. 303-313, doi: 10.1109/ICCMC53470.2022.9754109.

Prasad N. Achyutha, Sushovan Chaudhury, Subhas Chandra Bose, Rajnish Kler, Jyoti Surve, Karthikeyan Kaliyaperumal, "User Classification and Stock Market-Based Recommendation Engine Based on Machine Learning and Twitter Analysis", Mathematical Problems in Engineering, vol. 2022, Article ID 4644855, 9 pages, 2022. https://doi.org/10.1155/2022/4644855.

S. Chaudhury, N. Achyutha Prasad, S. Chakrabarti, C. A. Kumar and M. A. Elashiri, "The Sentiment Analysis of Human Behavior on Products and Organizations using K-Means Clustering and SVM Classifier," 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM), 2022, pp. 610-615, doi: 10.1109/ICIEM54221.2022.9853128.

Pooja Chopra, Vijay Suresh Gollamandala, Ahmed Najat Ahmed, S. B. G. Tilak Babu, Chamandeep Kaur, N. Achyutha Prasad, Stephen Jeswinde Nuagah, "Automated Registration of Multiangle SAR Images Using Artificial Intelligence", Mobile Information Systems, vol. 2022, Article ID 4545139, 10 pages, 2022. https://doi.org/10.1155/2022/4545139.

G, M. ., Deshmukh, P. ., N. L., U. K. ., Macedo, V. D. J. ., K B, V. ., N, A. P. ., & Tiwari, A. K. . (2023). Resource Allocation Energy Efficient Algorithm for H-CRAN in 5G. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3s), 118–126. https://doi.org/10.17762/ijritcc.v11i3s.6172.

Mohan, B. R. ., M, D. ., Bhuria, V. ., Gadde, S. S. ., M, K. ., & N, A. P. . (2023). Potable Water Identification with Machine Learning: An Exploration of Water Quality Parameters. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3), 178–185. https://doi.org/10.17762/ijritcc.v11i3.6333.

Achyutha Prasad N., Chaitra H.V., Manjula G., Mohammad Shabaz, Ana Beatriz Martinez-Valencia, Vikhyath K.B., Shrawani Verma, José Luis Arias-Gonzáles, “Delay optimization and energy balancing algorithm for improving network lifetime in fixed wireless sensor networks”, Physical Communication, Volume 58, 2023, 102038, ISSN 1874-4907.

P. B.D, A. Prasad N, Dhanraj and M. T N, "Adaptive Voting Mechanism with Artificial Butterfly Algorithm based Feature Selection for IDS in MANET," 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India, 2023, pp. 1-7, doi: 10.1109/ICICACS57338.2023.10099861.

S. Bhattacharyya, H. Rekha, S. Sarkar, N. Achyutha Prasad, B. N. Jagadeesh and S. Verma, "2.4 GHz Operational PSI-Shaped Patch Antenna Design For Multi Purpose Applications," 2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), Villupuram, India, 2023, pp. 1-6, doi: 10.1109/ICSTSN57873.2023.10151612.

P. K. Pareek, A. P. N, C. Srinivas and J. B. N, "Prediction of Rainfall in Karnataka Region using optimised MVC-LSTM Model," 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India, 2023, pp. 1-8, doi: 10.1109/ICICACS57338.2023.10100324.

Prasad, A. K. ., M, D. K. ., Macedo, V. D. J. ., Mohan, B. R. ., & N, A. P. . (2023). Machine Learning Approach for Prediction of the Online User Intention for a Product Purchase. International Journal on Recent and Innovation Trends in Computing and Communication, 11(1s), 43–51. https://doi.org/10.17762/ijritcc.v11i1s.5992.

Vikhyath K B and Achyutha Prasad N (2023), Optimal Cluster Head Selection in Wireless Sensor Network via Multi-constraint Basis using Hybrid Optimization Algorithm: NMJSOA. IJEER 11(4), 1087-1096. DOI: 10.37391/ijeer.110428.

G. T and U. N. L, "Routing and Security in Wireless Ad-Hoc Networks: State of the Art and Recent Advances," 2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM), Bhopal, India, 2023, pp. 1-8, doi: 10.1109/RESEM57584.2023.10236306.

K. B. Vikhyath and N. A. Prasad, “Combined Osprey-Chimp Optimization for Cluster Based Routing in Wireless Sensor Networks: Improved DeepMaxout for Node Energy Prediction”, Eng. Technol. Appl. Sci. Res., vol. 13, no. 6, pp. 12314–12319, Dec. 2023.

Vikhyath K B and Achyutha Prasad N, “Optimal Cluster Head Selection in Wireless Sensor Network via Combined Osprey-Chimp Optimization Algorithm: CIOO” International Journal of Advanced Computer Science and Applications(IJACSA), 14(12), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141241.

Rekha VS, Siddaraju., “An Ephemeral Analysis on Network Lifetime Improvement Techniques for Wireless Sensor Networks”, International Journal of Innovative Technology and Exploring Engineering, vol. 8, issue 9, 2278-3075, pp. 810–814, 2019.

Rekha V S and Dr. Siddaraju (2023), A Novel Buffer Packet Delivery Strategy for High Throughput and Better Health (HTBH) Method in Wireless Sensor Networks. IJEER 11(3), 866-876. DOI: 10.37391/ijeer.110334.

N. G and G. C. D, "Unsupervised Machine Learning Based Group Head Selection and Data Collection Technique," 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), 2022, pp. 1183-1190, doi: 10.1109/ICCMC53470.2022.9753995.

Nirmala G and C D Guruprakash (2023), A Novel Modified Energy and Throughput Efficient LOYAL UN-Supervised LEACH Method for Wireless Sensor Networks. IJEER 11(4), 877-885. DOI: 10.37391/ijeer.110401.

G. . T., R. . V., and U. K. . N. L., “Detecting Security Threats in Wireless Sensor Networks using Hybrid Network of CNNs and Long Short-Term Memory”, Int J Intell Syst Appl Eng, vol. 12, no. 1s, pp. 704–722, Sep. 2023.

Achyutha, P. N., Hebbale, S., & Vani, V. (2022). Real time COVID-19 facemask detection using deep learning. International Journal of Health Sciences, 6(S4), 1446–1462. https://doi.org/10.53730/ijhs.v6nS4.6231

Murthy, R. K., Dhanraj, S., Manjunath, T. N., Achyutha, P. N., Prasad, A. N., & Gangambika, G. (2022). A survey on human activity recognition using CNN and LSTM. International Journal of Health Sciences, 6(S7), 3408–3417. https://doi.org/10.53730/ijhs.v6nS7.12479

Murthy, R. K., Dhanraj, S., Manjunath, T. N., Prasad, A. N., Pareek, P. K., & Kumar, H. N. (2022). A human activity recognition using CNN and long term short term memory. International Journal of Health Sciences, 6(S6), 10797–10809. https://doi.org/10.53730/ijhs.v6nS6.12919

Kalshetty, J. N., Achyutha Prasad, N., Mirani, D., Kumar, H., & Dhingra, H. (2022). Heart health prediction using web application. International Journal of Health Sciences, 6(S2), 5571–5578. https://doi.org/10.53730/ijhs.v6nS2.6479.

Jipeng, T., Neelagar, M. B., & Rekha, V. S. (2021). Design of an embedded control scheme for control of remote appliances. Journal of Advanced Research in Instrumentation and Control Engineering, 7(3 & 4), 5-8.

Prakash, N. C., Narasimhaiah, A. P., Nagaraj, J. B., Pareek, P. K., Sedam, R. V., & Govindhaiah, N. (2022). A survey on NLP based automatic extractive text summarization using spacy. International Journal of Health Sciences, 6(S8), 1514–1525. https://doi.org/10.53730/ijhs.v6nS8.10526

Prakash, N. C. P., Narasimhaiah, A. P., Nagaraj, J. B., Pareek, P. K., Maruthikumar, N. B., & Manjunath, R. I. (2022). Implementation of NLP based automatic text summarization using spacy. International Journal of Health Sciences, 6(S5), 7508–7521. https://doi.org/10.53730/ijhs.v6nS5.10574

Ramkrishna, S., Srinivas, C., Narasimhaiah, A. P., Muniraju, U., Maruthikumar, N. B., & Manjunath, R. I. (2022). A survey on blockchain security for cloud and IoT environment. International Journal of Health Sciences, 6(7), 28–43. https://doi.org/10.53730/ijhs.v6n7.10692

Hebbale, S., Marndi, A., Achyutha, P. N., Manjula, G., Mohan, B. R., & Jagadeesh, B. N. (2022). Automated medical image classification using deep learning. International Journal of Health Sciences, 6(S5), 1650–1667. https://doi.org/10.53730/ijhs.v6nS5.9153

Hebbale, S., Marndi, A., Manjunatha Kumar, B. H., Mohan, B. R. ., Achyutha, P. N., & Pareek, P. K. (2022). A survey on automated medical image classification using deep learning. International Journal of Health Sciences, 6(S1), 7850–7865. https://doi.org/10.53730/ijhs.v6nS1.6791.

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Published

26.03.2024

How to Cite

Raviram V, G. T. . (2024). Tuna-Osprey Optimization for Energy Efficient Cluster-based Routing: Modified Deep Learning for Node’s Energy Prediction. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 1102–1110. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5510

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Research Article