• DocumentCode
    2362548
  • Title

    Hierarchical MIMO: A clustering approach for Ad hoc wireless sensor networks

  • Author

    Nasim, Mehwish ; Qaisar, Saad

  • Author_Institution
    Core Commun. & Networks Lab., NUST Sch. of Electr. Eng. & Comput. Sci., Islamabad, Pakistan
  • fYear
    2010
  • fDate
    17-19 March 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    MIMO based communication protocols have been proposed for energy conservation in wireless sensor networks. In this paper we present an energy efficient clustering framework. We implement a hierarchical clusterhead selection algorithm which chooses the clusterheads and the cooperating nodes to achieve high energy gains in cooperative MIMO communication. The algorithm selects the clusterhead on the basis of residual energy of the nodes. The reclustering approach ensures minimum disturbance in the network. The local communication within a cluster takes place via SISO. Each cluster is led by a clusterhead. The clusterhead and cooperative node forward data to the routing clusterheads via 2×2 MIMO. The data is further relayed via MIMO until it reaches the base station.We evaluate our proposed scheme on the basis of analytical and simulation results. The results show significant energy conservation if packets are routed via hierarchical MIMO.
  • Keywords
    MIMO communication; ad hoc networks; telecommunication network routing; wireless sensor networks; MIMO based communication protocols; SISO; ad hoc networks; clustering approach; cooperative MIMO communication; energy conservation; hierarchical MIMO; routing clusterheads; wireless sensor networks; Base stations; Batteries; Clustering algorithms; Computer science; Energy conservation; Energy efficiency; MIMO; Routing; Wireless application protocol; Wireless sensor networks; MIMO; Wireless sensor networks; energy efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems (CISS), 2010 44th Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-7416-5
  • Electronic_ISBN
    978-1-4244-7417-2
  • Type

    conf

  • DOI
    10.1109/CISS.2010.5464708
  • Filename
    5464708