An Area-Based Vertical Motion Estimation on Heterogeneous Wireless Networks

  • Ing-Chau Chang
  • Ching-Hsiang Wang
  • Lin-Huang Chang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4138)


In this paper, we will propose an area-based vertical motion estimation (AVME) scheme to efficiently and accurately predict target wireless networks and corresponding target cells for the next handoff of the mobile node (MN) on the increasingly prevalent heterogeneous wireless network environment which consisting of several different wireless networks such as wireless LAN (WLAN), third generation cellular network (3G), etc. We adopt the back propagation neural network (BPN) model in this AVME scheme to generate mobility patterns of MNs by training the BPN model with historical handoff information of these MNs. By using the IBM City Simulator [1] to create the city plan and motions of all MNs, simulation results show that our AVME scheme on heterogeneous wireless networks can achieve higher level of predication accuracy for next handoff than traditional cell-based prediction scheme does on a single wireless network, but with less resources and computations.


Mobile Node Back Propagation Neural Network Average Mean Square Error Heterogeneous Wireless Network Vertical Handoff 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ing-Chau Chang
    • 1
  • Ching-Hsiang Wang
    • 2
  • Lin-Huang Chang
    • 2
  1. 1.Department of Computer Science and Information EngineeringNational Changhua, University of EducationChanghuaTaiwan, R.O.C
  2. 2.Graduate Institute of Networking and Communication EngineeringChaoYang University of TechnologyWufeng County, TaichungTaiwan, R.O.C

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