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Mobile Networks and Applications

, Volume 23, Issue 6, pp 1462–1477 | Cite as

Intelligent Technique for Seamless Vertical Handover in Vehicular Networks

  • Shidrokh Goudarzi
  • Wan Haslina Hassan
  • Mohammad Hossein Anisi
  • Muhammad Khurram Khan
  • Seyed Ahmad Soleymani
Article
  • 261 Downloads

Abstract

Seamless mobility is a challenging issue in the area of research of vehicular networks that are supportive of various applications dealing with the intelligent transportation system (ITS). The conventional mobility management plans for the Internet and the mobile ad hoc network (MANET) is unable to address the needs of the vehicular network and there is severe performance degradation because of the vehicular networks’ unique characters such as high mobility. Thus, vehicular networks require seamless mobility designs that especially developed for them. This research provides an intelligent algorithm in providing seamless mobility using the media independent handover, MIH (IEEE 802.21), over heterogeneous networks with different access technologies such as Worldwide Interoperability for Microwave Access (WiMAX), Wireless Fidelity (Wi-Fi), as well as the Universal Mobile Telecommunications System (UMTS) for improving the quality of service (QoS) of the mobile services in the vehicular networks. The proposed algorithm is a hybrid model which merges the biogeography-based optimization or BBO with the Markov chain. The findings of this research show that our method within the given scenario can meet the requirements of the application as well as the preferences of the users.

Keywords

Heterogeneous networks IEEE 802.21 Vertical handover Markov chain Biogeography-based optimization Vehicular network (VN) 

Notes

Acknowledgments

The authors thank the Universiti Teknologi Malaysia (UTM), Malaysian Japan International Institute of Technology (MJIIT), and i-Kohza Computer System and Network (CSN). We also extend our sincere appreciation to the Deanship of Scientific Research at King Saud University for funding this work through research Group number (RG-288).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Advanced Informatics SchoolUniversiti Teknologi MalaysiaKuala LumpurMalaysia
  2. 2.School of Computer Science and Electronic EngineeringUniversity of EssexColchesterUK
  3. 3.Center of Excellence in Information AssuranceKing Saud UniversityRiyadhSaudi Arabia
  4. 4.Department of Computing, Faculty of ComputingUniversity of Teknologi MalaysiaJohor BahruMalaysia

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