Connectivity opportunity selection in heterogeneous wireless multi-hop networks

  • Authors:
  • Dave Cavalcanti;Nagesh Nandiraju;Deepti Nandiraju;Dharma P. Agrawal;Anup Kumar

  • Affiliations:
  • Wireless Communications and Networking Department, Philips Research North America, Briarcliff Manor, NY, United States;OBR Center for Distributed and Mobile Computing, Department of ECECS, University of Cincinnati, Cincinnati, OH, United States;OBR Center for Distributed and Mobile Computing, Department of ECECS, University of Cincinnati, Cincinnati, OH, United States;OBR Center for Distributed and Mobile Computing, Department of ECECS, University of Cincinnati, Cincinnati, OH, United States;Department of Computer Engineering and Computer Science, University of Louisville, Louisville, KY, United States

  • Venue:
  • Pervasive and Mobile Computing
  • Year:
  • 2008

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Abstract

This paper addresses the problem of selecting the best connectivity alternative for the user in a generic Heterogeneous Wireless Multi-hop Network (HWMN), integrating distinct wireless technologies and multi-mode cooperating stations. We propose a Connectivity opportunity Selection Algorithm (CSA) that uses network state information and mobility profile information to select the best connectivity based on the applications' requirements. We provide a simulation-based performance evaluation of the CSA and compare it with a greedy network selection scheme. Furthermore, we propose an extended reference model that allows the integration of the concept of connectivity opportunity and our proposed CSA with the framework being defined by the upcoming IEEE 802.21 standard for Media Independent Handover services.