• Title/Summary/Keyword: Routing Machanism

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Routing Mechanism for Data Transmission QoS in Mobile Ad-hoc Network (무선 애드 혹 네트워크에서의 데이터 전송 QoS를 위한 라우팅 기법)

  • Cha, Hyun-Jong;Yang, Ho-Kyung;Shin, Hyo-Young;Jo, Yong-Gun;Ryou, Hwang-Bin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.9
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    • pp.1829-1836
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    • 2009
  • A wireless Ad-hoc network is willing to send and receive data and for other nodes, and it is a temporal network where the nodes with mobility are automatically constituted. This network has been studied to construct networks in the state where there is no infrastructure. The limited nodes and its frequent moving in a wireless Ad-hoc network have resulted in frequent network disconnection. Therefore, the data transmission rate should be secured in a wireless Ad-hoc network. This study proposes the method to improve QoS of data transmission considering the mobility of nodes that respond to path searching by means of AOMDV routing protocol. By applying the suggested method, it is possible to raise the transmission rate by improving the reliability of transmission path.

Dynamic Single Path Routing Mechanism for Reliability and Energy-Efficiency in a Multi Hop Sensor Network (다중 홉 센서 네트워크에서 신뢰성과 에너지 효율성을 고려한 동적 단일경로 설정기법)

  • Choi, Seong-Yong;Kim, Jin-Su;Jung, Kyung-Yong;Han, Seung-Jin;Choi, Jun-Hyeog;Rim, Kee-Wook;Lee, Jung-Hyun
    • The Journal of the Korea Contents Association
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    • v.9 no.9
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    • pp.31-40
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    • 2009
  • What are important in wireless sensor networks are reliable data transmission, energy efficiency of each node, and the maximization of network life through the distribution of load among the nodes. The present study proposed DSPR, a dynamic unique path routing machanism that considered these requirements in wireless sensor networks. In DSPR, data is transmitted through a dynamic unique path, which has the least cost calculated with the number of hops from each node to the sink, and the average remaining energy. At that time, each node monitors its transmission process and if a node detects route damage it changes the route dynamically, referring to the cost table, and by doing so, it enhances the reliability of the network and distributes energy consumption evenly among the nodes. In addition, when the network topology is changed, only the part related to the change is restructured dynamically instead of restructuring the entire network, and the life of the network is extended by inhibiting unnecessary energy consumption in each node as much as possible. In the results of our experiment, the proposed DSPR increased network life by minimizing energy consumption of the nodes and improved the reliability and energy efficiency of the network.