• Title/Summary/Keyword: Unexpected Network Failure Problem

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ARM: Adaptive Resource Management for Wireless Network Reliability (무선 네트워크의 신뢰성 보장을 위한 적응적 자원 관리 기법)

  • Lee, Kisong;Lee, Howon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.10
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    • pp.2382-2388
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    • 2014
  • To provide network reliability in indoor wireless communication systems, we should resolve the problem of unexpected network failure rapidly. In this paper, we propose an adaptive resource management (ARM) scheme to support seamless connectivity to users. In consideration of system throughput and user fairness simultaneously, the ARM scheme adaptively determines the set of healing channels, and performs scheduling and power allocation iteratively based on a constrained non-convex optimization technique. Through intensive simulations, we demonstrate the superior performance results of the proposed ARM scheme in terms of the average cell capacity and user fairness.

A WSN Routing Algorithm for Improving the Reliability of Directed Diffusion (Directed Diffusion 기반의 신뢰성 향상을 위한무선 센서 네트워크 라우팅 알고리즘)

  • Kim, Yong-Pyo;Jung, Eui-Hyun;Park, Yong-Jin
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.2
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    • pp.39-47
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    • 2010
  • In Wireless Sensor Network, transmission errors are frequently occurred due to the node failure, battery discharge, and interference by objects. Although Directed Diffusion has been considered as a prominent Data-centric routing algorithm, it revealed some weaknesses at this kind of unexpected network errors. In order to address the problem, we proposed a radio-aware routing algorithm for improving reliability of Directed Diffusion in Wireless Sensor Networks. The proposed algorithm is aware of the network status based on the radio information of MAC and PHY layers using a cross-layer approach. The link quality and the node failure information from the acquired network status were used to decide an alternative path to provide a reliable data transmission in error-prone sensor networks. The proposed algorithm showed its effectiveness of the data delivery rate and data ratio with several simulations consisting of various error rates and the number of nodes.