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Earlier Selection of Routes for Data Transfer In Both Wired and Wireless Networks

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Smart Technologies in Data Science and Communication

Abstract

In both wired and wireless communication networks, the transfer of huge data was the major issue. To solve this issue, we are in the process of working with both admission control and control transfer mechanisms such that to transfer huge amount of data in the current networks without disturbing the regular flow of data in the networks. A scheduling algorithm was also in the process to achieve this goal of transfer of substance amount of data from source to desti nation securely. In the current system, for every transfer of bulk amounts, a request needs to be sent to the central processing control for the request of blocking of some bandwidth by giving the starting and ending time for the transfer of data. As the time slot is given, then we can transfer any amount of data within that slot of time. The reassignment of bandwidth and the multiple routing configurations are present and utilized in the system. As per the results, the working of the system is excellent in the performance, and good encouraging results were obtained from the system.

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References

  1. Satyanarayana KV, Rao NT, Bhattacharyya D, Hu (2022) Identifying the presence of bacteria on digital images by using asymmetric distribution with k-means clustering algorithm. Multidimension Syst Signal Process 33(2):301–326. https://doi.org/10.1007/s11045-021-00800-0

  2. Chandra Sekhar P, Thirupathi Rao N, Bhattacharyya D, Kim T (2021) Segmentation of natural images with k-means and hierarchical algorithm based on mixture of pearson distributions. J Sci Ind Res 80(8):707–715. Retrieved from www.scopus.com

  3. Bhattacharyya D, Dinesh Reddy B, Kumari NMJ, Rao NT (2021) Comprehensive analysis on comparison of machine learning and deep learning applications on cardiac arrest. J Med Pharm Allied Sci 10(4):3125–3131. https://doi.org/10.22270/jmpas.V10I4.1395

    Article  Google Scholar 

  4. Bhattacharyya D, Doppala BP, Thirupathi Rao N (2020) Prediction and forecasting of persistent kidney problems using machine learning algorithms. Int J Current Res Rev 12(20):134–139. https://doi.org/10.31782/IJCRR.2020.122031

    Article  Google Scholar 

  5. Mandhala VN, Bhattacharyya D, Vamsi B, Thirupathi Rao N (2020) Object detection using machine learning for visually impaired people. Int J Current Res Rev 12(20):157–167. https://doi.org/10.31782/IJCRR.2020.122032

    Article  Google Scholar 

  6. Bhattacharyya D, Kumari NMJ, Joshua ESN, Rao NT (2020) Advanced empirical studies on group governance of the novel Corona virus, Mers, Sars and Ebola: a systematic study. Int J Current Res Rev 12(18):35–41. https://doi.org/10.31782/IJCRR.2020.121828

    Article  Google Scholar 

  7. Asish Vardhan K, Thirupathi Rao N, Naga Mallik Raj S, Sudeepthi G, Divya Bhattacharyya D, Kim T (2019) Health advisory system using IoT technology. Int J Recent Technol Eng 7(6):183–187. Retrieved from www.scopus.com

  8. Eali SNJ, Bhattacharyya D, Nakka TR, Hong S (2022) A novel approach in bio-medical image segmentation for analyzing brain cancer images with U-NET semantic segmentation and TPLD models using SVM. Traitement Du Signal 39(2):419–430. https://doi.org/10.18280/ts.390203

  9. Doppala BP, NagaMallik Raj S, Stephen Neal Joshua E, Thirupathi Rao N (2021) Automatic determination of harassment in social network using machine learning. https://doi.org/10.1007/978-981-16-1773-7_20 Retrieved from www.scopus.com

  10. Eali SNJ, Rao NT, Swathi K, Satyanarayana KV, Bhattacharyya D, Kim T (2018) Simulated studies on the performance of intelligent transportation system using vehicular networks. Int J Grid Distrib Comput 11(4):27–36. https://doi.org/10.14257/ijgdc.2018.11.4.03

  11. Joshua ESN, Battacharyya D, Doppala BP, Chakkravarthy M (2022) Extensive statistical analysis on novel coronavirus: towards worldwide health using apache spark. https://doi.org/10.1007/978-3-030-72752-9_8. Retrieved from www.scopus.com

  12. Joshua ESN, Bhattacharyya D, Chakkravarthy M (2021) Lung nodule semantic segmentation with bi-direction features using U-INET. J Med Pharm Allied Sci 10(5):3494–3499. https://doi.org/10.22270/jmpas.V10I5.1454

    Article  Google Scholar 

  13. Joshua ESN, Bhattacharyya D, Chakkravarthy M, Kim H, -. (2021) Lung cancer classification using squeeze and excitation convolutional neural networks with grad cam++ class activation function. Traitement Du Signal 38(4):1103–1112. https://doi.org/10.18280/ts.380421

    Article  Google Scholar 

  14. Joshua ESN, Chakkravarthy M, Bhattacharyya D (2021) Lung cancer detection using improvised grad-cam++ with 3D CNN class activation. https://doi.org/10.1007/978-981-16-1773-7_5. Retrieved from www.scopus.com

  15. Neal Joshua ES, Bhattacharyya D, Chakkravarthy M, Byun Y (2021) 3D CNN with visual insights for early detection of lung cancer using gradient-weighted class activation. J Healthc Eng. https://doi.org/10.1155/2021/6695518

  16. Neal Joshua ES, Chakkravarthy M, Bhattacharyya D (2020) An extensive review on lung cancer detection using machine learning techniques: a systematic study. Revue d’Intelligence Artificielle 34(3):351–359. https://doi.org/10.18280/ria.340314

    Article  Google Scholar 

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Correspondence to S. NagaMallik Raj .

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NagaMallik Raj, S., Neeraja, S., Rao, N.T., Bhattacharyya, D. (2023). Earlier Selection of Routes for Data Transfer In Both Wired and Wireless Networks. In: Ogudo, K.A., Saha, S.K., Bhattacharyya, D. (eds) Smart Technologies in Data Science and Communication. Lecture Notes in Networks and Systems, vol 558. Springer, Singapore. https://doi.org/10.1007/978-981-19-6880-8_6

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