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Modified Mackenzie Equation and CVOA Algorithm Reduces Delay in UASN

R. Amirthavalli1,*, S. Thanga Ramya2, N. R. Shanker3

1 Department of Computer Science and Engineering, Velammal Engineering College, Chennai, 66, India
2 Department of Information Technology, R. M. D Engineering College, Tiruvallur, 1206, India
3 Department of Computer Science and Engineering, Aalim Muhammed Salegh College of Engineering, Chennai, 55, India

* Corresponding Author: R. Amirthavalli. Email: email

Computer Systems Science and Engineering 2022, 41(2), 829-847. https://doi.org/10.32604/csse.2022.020307

Abstract

In Underwater Acoustic Sensor Network (UASN), routing and propagation delay is affected in each node by various water column environmental factors such as temperature, salinity, depth, gases, divergent and rotational wind. High sound velocity increases the transmission rate of the packets and the high dissolved gases in the water increases the sound velocity. High dissolved gases and sound velocity environment in the water column provides high transmission rates among UASN nodes. In this paper, the Modified Mackenzie Sound equation calculates the sound velocity in each node for energy-efficient routing. Golden Ratio Optimization Method (GROM) and Gaussian Process Regression (GPR) predicts propagation delay of each node in UASN using temperature, salinity, depth, dissolved gases dataset. Dissolved gases, rotational and divergent winds, and stress plays a major problem in UASN, which increases propagation delay and energy consumption. Predicted values from GPR and GROM leads to node selection and Corona Virus Optimization Algorithm (CVOA) routing is performed on the selected nodes. The proposed GPR-CVOA and GROM-CVOA algorithm solves the problem of propagation delay and consumes less energy in nodes, based on appropriate tolerant delays in transmitting packets among nodes during high rotational and divergent winds. From simulation results, CVOA Algorithm performs better than traditional DF and LION algorithms.

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APA Style
Amirthavalli, R., Ramya, S.T., Shanker, N.R. (2022). Modified mackenzie equation and CVOA algorithm reduces delay in UASN. Computer Systems Science and Engineering, 41(2), 829-847. https://doi.org/10.32604/csse.2022.020307
Vancouver Style
Amirthavalli R, Ramya ST, Shanker NR. Modified mackenzie equation and CVOA algorithm reduces delay in UASN. Comput Syst Sci Eng. 2022;41(2):829-847 https://doi.org/10.32604/csse.2022.020307
IEEE Style
R. Amirthavalli, S.T. Ramya, and N.R. Shanker, “Modified Mackenzie Equation and CVOA Algorithm Reduces Delay in UASN,” Comput. Syst. Sci. Eng., vol. 41, no. 2, pp. 829-847, 2022. https://doi.org/10.32604/csse.2022.020307



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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