A mobility-based prediction algorithm for vertical handover in hybrid wireless networks

  • Joe, Inwhee
  • Hong, Sungchan
Citations

SCOPUS

9

초록

This paper proposes a prediction algorithm to choose candidate networks for vertical handover by using the speed of the mobile station and mobility pattern in hybrid wireless networks. If the predicted cell residence time is not long enough compared to the handover delay, then this particular network will be removed from the candidate network list. Since it is very difficult to predict the user mobility exactly, the proposed algorithm measures the mobility pattern of a user and estimates the network residence time by using probability density functions. The main contribution of this algorithm attempts to minimize unnecessary handovers, leading to an effective algorithm for vertical handover. In this paper we conduct simulation studies by OPNet. The simulation results show that the proposed algorithm minimizes the number of handovers in the hybrid wireless network environment.

키워드

Mobility predictionNetwork selectionVertical handoverAlgorithmsBroadband networksDistributed computer systemsForecastingProbability density functionRadio systemsRisk assessmentSteel structuresTelecommunication systemsWireless telecommunication systemsBroadband convergence NetworksCandidate networkCell Residence TimeHandover delaysHandoversHybrid Wireless NetworkHybrid wireless networksMobile stationMobility patternsMobility predictionNetwork selectionPrediction algorithmsProbability density functionsResidence timeSimulation resultsSimulation studiesUser mobilitiesVertical handoverWireless networks
제목
A mobility-based prediction algorithm for vertical handover in hybrid wireless networks
저자
Joe, InwheeHong, Sungchan
DOI
10.1109/BCN.2007.372748
발행일
2007-05
유형
Conference Paper
저널명
2007 2nd IEEE/IFIP International Workshop on Broadband Convergence Networks, BcN
페이지
1 ~ 5