• DocumentCode
    483554
  • Title

    Channel resource assignment cross layer MIMO cooperative scheduling scheme for hybrid sensor networks

  • Author

    Zhong, Yingji ; Kwak, Kyung Sup ; Yuan, Dongfeng

  • Author_Institution
    UWB Wireless Commun. Res. Center, Inha Univ., Incheon
  • fYear
    2008
  • fDate
    14-16 Oct. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The multi-scenario topology of the hybrid sensor networks is studied and a novel MIMO channel resource assignment cross layer cooperative scheduling scheme (CRA-CCSS) is proposed in this paper. The comparison and the predominance of the proposed scheme are demonstrated. With the help of the simulations, the relative energy consumption and the end-to-end blocking probability are all improved. So the addressing ratio of success in the condition of the unchanged parameters and external information can be increased and the network can tolerate more hops to support reliable transportation by the proposed scheme. What is more, the scheme can make the network more stable and support more hops. Therefore, the proposed scheme can enhance the average rate performance of the hybrid sensor networks and make the outage probability stable.
  • Keywords
    MIMO communication; channel allocation; scheduling; telecommunication network topology; wireless sensor networks; channel resource assignment; cross layer MIMO cooperative scheduling scheme; end-to-end blocking probability; hybrid sensor networks; network topology; outage probability; relative energy consumption; Cross layer design; Electronic mail; Frequency; MIMO; Network topology; Proposals; Sensor phenomena and characterization; Spread spectrum communication; Wireless communication; Wireless sensor networks; Cooperative Scheduling; Cross Layer; Hybrid Sensor Networks; MIMO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. APCC 2008. 14th Asia-Pacific Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-4-88552-232-1
  • Electronic_ISBN
    978-4-88552-231-4
  • Type

    conf

  • Filename
    4773719