Gateway selection in multi-hop wireless networks using route and link optimization

Hans Livingstone, Hidehisa Nakayama, Takeshi Matsuda, Xuemin Shen, Nei Kato

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

5 Citations (Scopus)

Abstract

In recent years, along with the increasing popularity of multi-hop wireless networks, there has been a growing demand in the coupling of these networks to external ones such as the Internet. As traffic destined for external networks increases, special attention is required not only in gateway selection, but also in optimized routing and scheduling in order to maximize the network performance. In this paper we introduce the Ideally Scheduled Route Optimization (ISRO) method to address this concern. ISRO is the combination of three separate optimization problems: optimal routing of gateway traffic under ideal conditions, interference-free scheduling to determine link capacity, and route adjustment in light of the new link capacities. The performance of ISRO is evaluated by experiment which shows significant potential in maximizing the throughput and capacity of the network.

Original languageEnglish
Title of host publication2010 IEEE Global Telecommunications Conference, GLOBECOM 2010
DOIs
Publication statusPublished - 2010 Dec 1
Event53rd IEEE Global Communications Conference, GLOBECOM 2010 - Miami, FL, United States
Duration: 2010 Dec 62010 Dec 10

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other53rd IEEE Global Communications Conference, GLOBECOM 2010
CountryUnited States
CityMiami, FL
Period10/12/610/12/10

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Livingstone, H., Nakayama, H., Matsuda, T., Shen, X., & Kato, N. (2010). Gateway selection in multi-hop wireless networks using route and link optimization. In 2010 IEEE Global Telecommunications Conference, GLOBECOM 2010 [5683764] (GLOBECOM - IEEE Global Telecommunications Conference). https://doi.org/10.1109/GLOCOM.2010.5683764