A mobility-aware link enhancement mechanism for vehicular ad hoc networks

  • Authors:
  • Chenn-Jung Huang;Yi-Ta Chuang;Dian-Xiu Yang;I-Fan Chen;You-Jia Chen;Kai-Wen Hu

  • Affiliations:
  • Department of Computer and Information Science, College of Science, National Hualien University of Education, Hualien, Taiwan;Department of Computer and Information Science, College of Science, National Hualien University of Education, Hualien, TaiwanDepartment of Computer and Information Science, College of Science, Nat ...;Department of Computer and Information Science, College of Science, National Hualien University of Education, Hualien, Taiwan;Department of Computer and Information Science, College of Science, National Hualien University of Education, Hualien, Taiwan;Department of Computer and Information Science, College of Science, National Hualien University of Education, Hualien, Taiwan;Department of Computer and Information Science, College of Science, National Hualien University of Education, Hualien, Taiwan

  • Venue:
  • EURASIP Journal on Wireless Communications and Networking
  • Year:
  • 2008

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Abstract

With the growth up of internet in mobile commerce, researchers have reproduced various mobile applications that vary from entertainment and commercial services to diagnostic and safety tools. Mobility management has widely been recognized as one of the most challenging problems for seamless access to wireless networks. In this paper, a novel link enhancement mechanism is proposed to deal with mobility management problem in vehicular ad hoc networks. Two machine learning techniques, namely, particle swarm optimization and fuzzy logic systems, are incorporated into the proposed schemes to enhance the accuracy of prediction of link break and congestion occurrence. The experimental results verify the effectiveness and feasibility of the proposed schemes.