• Title/Summary/Keyword: 수직적 핸드오프 결정

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TCP Throughput Effective Vertical Handoff Decision Scheme for Heterogeneous Wireless Networks (이기종 무선망에서의 TCP 성능 기반 수직적 핸드오프 결정 방안)

  • Seok, Woo-Jin;Choi, Young-Hwan;Kim, Sang-Ha
    • Journal of KIISE:Information Networking
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    • v.34 no.6
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    • pp.505-513
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    • 2007
  • Vertical handoff is a new type of handoff in wireless networks. It is issued when a mobile node moves over overlapping wireless networks with each proving a different access bandwidth, transmission latency, and coverage. By issuing the vertical handoff, the mobile node can obtain better network bandwidth. In the sense of TCP throughput, however, the vertical handoff does not always produce positive performance gain, so sometimes it is better for the mobile node to stay at lower bandwidth providing network rather than to select and move to higher bandwidth providing network. In this paper, we analyze TCP throughput for vertical handoff, and propose a new handoff decision scheme which can estimate TCP throughput at the moment of vertical handoff. Based on the estimation, a mobile node can decide to issue vertical handoff to produce better TCP throughput, and we verify the results by simulations.

Adaptive Load Balancing Algorithms for Overlay Multimedia Network (오버레이 네트워크에서 멀티미디어 서비스를 위한 적응적인 부하균형 기법)

  • Kim, Sung-Wook;Kim, Sung-Chun
    • Journal of KIISE:Information Networking
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    • v.34 no.4
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    • pp.239-245
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    • 2007
  • New multimedia services over the cellular/WLAN overlay networks require different Quality of Service (QoS). In the cellular/WLAN overlay structure, the main issue of load balancing is to balance the available bandwidth among different networks. In this paper, we propose a new online network management scheme. Our proposed scheme is designed to improve bandwidth utilization by balancing the traffic load between the cellular network and WLANs. Simulation results indicate the superior performance of our proposed framework to strike the appropriate performance balance between contradictory QoS requirements under widely varying diverse traffic loads.