Open Access iconOpen Access

ARTICLE

crossmark

Efficient Network Selection Using Multi-Depot Routing Problem for Smart Cities

R. Shanthakumari1, Yun-Cheol Nam2, Yunyoung Nam3,*, Mohamed Abouhawwash4,5

1 Department of Information Technology, Kongu Engineering College, Perundurai, 638060, India
2 Department of Architecture, Joongbu University, Goyang, 10279, Korea
3 Department of ICT Convergence, Soonchunhyang University, Korea
4 Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt
5 Department of Computational Mathematics, Science, and Engineering (CMSE), Michigan State University, East Lansing, MI, 48824, USA

* Corresponding Author: Yunyoung Nam. Email: email

Intelligent Automation & Soft Computing 2023, 36(2), 1991-2005. https://doi.org/10.32604/iasc.2023.033696

Abstract

Smart cities make use of a variety of smart technology to improve societies in better ways. Such intelligent technologies, on the other hand, pose significant concerns in terms of power usage and emission of carbons. The suggested study is focused on technological networks for big data-driven systems. With the support of software-defined technologies, a transportation-aided multicast routing system is suggested. By using public transportation as another communication platform in a smart city, network communication is enhanced. The primary objective is to use as little energy as possible while delivering as much data as possible. The Attribute Decision Making with Capacitated Vehicle (CV) Routing Problem (RP) and Half Open Multi-Depot Heterogeneous Vehicle Routing Problem is used in the proposed research. For the optimum network selection, a Multi-Attribute Decision Making (MADM) method is utilized. For the sake of reducing energy usage, the Capacitated Vehicle Routing Problem (CVRP) is employed. To reduce the transportation cost and risk, Half Open Multi-Depot Heterogeneous Vehicle Routing Problem is used. Moreover, a mixed-integer programming approach is used to deal with the problem. To produce Pareto optimal solutions, an intelligent algorithm based on the epsilon constraint approach and genetic algorithm is created. A scenario of Auckland Transport is being used to validate the concept of offloading the information onto the buses for energy-efficient and delay-tolerant data transfer. Therefore the experiments have demonstrated that the buses may be used effectively to carry out the data by customer requests while using 30% of less energy than the other systems.

Keywords


Cite This Article

APA Style
Shanthakumari, R., Nam, Y., Nam, Y., Abouhawwash, M. (2023). Efficient network selection using multi-depot routing problem for smart cities. Intelligent Automation & Soft Computing, 36(2), 1991-2005. https://doi.org/10.32604/iasc.2023.033696
Vancouver Style
Shanthakumari R, Nam Y, Nam Y, Abouhawwash M. Efficient network selection using multi-depot routing problem for smart cities. Intell Automat Soft Comput . 2023;36(2):1991-2005 https://doi.org/10.32604/iasc.2023.033696
IEEE Style
R. Shanthakumari, Y. Nam, Y. Nam, and M. Abouhawwash "Efficient Network Selection Using Multi-Depot Routing Problem for Smart Cities," Intell. Automat. Soft Comput. , vol. 36, no. 2, pp. 1991-2005. 2023. https://doi.org/10.32604/iasc.2023.033696



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.
  • 975

    View

  • 419

    Download

  • 0

    Like

Share Link