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Multi-Objective Immune Algorithm for Internet of Vehicles for Data Offloading

B. Gomathi1, S. T. Suganthi2,*, T. N. Prabhu3, Andriy Kovalenko4

1 Department of Information Technology, Hindusthan College of Engineering and Technology, Coimbatore, 641050, India
2 Department of Computer Engineering, Lebanese French University, Erbil, 44001, Iraq
3 Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, 641022, India
4 Department of Electronic Computers, Kharkiv National University of Radio Electronics, Kharkiv Oblast, 61000, Ukraine

* Corresponding Author: S. T. Suganthi. Email: email

Intelligent Automation & Soft Computing 2022, 34(3), 1851-1860. https://doi.org/10.32604/iasc.2022.026779

Abstract

On the Internet of Vehicle (IoV) devices, offloading data is the major problem because massive amounts of data generate energy consumption, and the execution cost is high. At present, accidents traffic management is highly prominent due to increased vehicles among the population. IoV is the only technology to help the transport system effectively. This data outreach the memory also has high energy consumption, and the storage cost is high. To overcome these issues, a Mobility aware Offloading scheme with Multi-Objective Immune Optimization algorithm (MOS-MOIO) is used in the cloud storage. The data is generated from the online sensor system. The generated information must alert the IoV users with a useful data offloading scheme. The result of the data offloading is evaluated with various performance metrics.

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Cite This Article

B. Gomathi, S. T. Suganthi, T. N. Prabhu and A. Kovalenko, "Multi-objective immune algorithm for internet of vehicles for data offloading," Intelligent Automation & Soft Computing, vol. 34, no.3, pp. 1851–1860, 2022. https://doi.org/10.32604/iasc.2022.026779



cc 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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