Location-aware signaling protocol for WWAN and WLAN interworking

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

With the rapid improvement of wireless networking technologies, current mobile devices can be potentially equipped with multiple interfaces to access different kinds of wireless networks. Thus, there have been many efforts to provide a seamless roaming between heterogeneous networks. However, most previous studies do not address how to select the best possible interface in terms of energy consumption. Therefore, in this paper, we propose to take advantage of accurate location positioning via WWAN interface, so that Mobile Nodes (MNs) obtain the information of hotspot range and completely turn off WLAN interface during idle state, leading to save energy consumption. Simulation results show that our mechanism outperforms existing approaches in terms of energy consumption and signaling overhead.

Original languageEnglish
Title of host publicationWired/Wireless Internet Communications - 5th International Conference, WWIC 2007, Proceedings
Pages271-278
Number of pages8
Publication statusPublished - 2007 Dec 1
Event5th International Conference on Wired/Wireles Internet Communications, WWIC 2007 - Coimbra, Portugal
Duration: 2007 May 232007 May 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4517 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Wired/Wireles Internet Communications, WWIC 2007
CountryPortugal
CityCoimbra
Period07/5/2307/5/25

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Seo, S. H., Lee, S. K., & Song, J. S. (2007). Location-aware signaling protocol for WWAN and WLAN interworking. In Wired/Wireless Internet Communications - 5th International Conference, WWIC 2007, Proceedings (pp. 271-278). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4517 LNCS).