• DocumentCode
    3577317
  • Title

    Joint Cluster Routing and Sleep-Awake Scheduling for Energy-Efficiency in Wireless Sensor Networks

  • Author

    Ming-Te Chen ; Ming-Hung Chen ; Che-Wei Sun ; Yu-Jung Cheng ; Cheng-Fu Chou

  • Author_Institution
    Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2014
  • Firstpage
    526
  • Lastpage
    531
  • Abstract
    Energy efficiency has become an important research issue for wireless sensor networks. Sensor nodes, thus, need to make use of their limited energy to keep active time as small as possible to prolong the whole network lifetime while meeting the performance requirement. In this work, we reinvestigate the overhearing problem, which occurs when an awake node overhears the transmission nearby, and this introduces unnecessary energy cost at the overhearing node. To cope with this issue and alleviate repeated sampling problem, we propose a cross-layer cluster routing and scheduling protocol, which jointly considers the properties of MAC layer, network layer, and application data of WSNs. That is, we group the nodes nearby that can communicate with the same neighbors and sense similar data into a cluster and let those nodes cooperatively prolong heir lifetime. We implement the proposed protocol on Tiny OS and do the simulations with TOSSIM. Both experimental and imulation results show that our proposed protocol can prolong the network lifetime up to 3x over ALPL and BMAC.
  • Keywords
    energy conservation; routing protocols; scheduling; telecommunication power management; wireless sensor networks; ALPL; BMAC; MAC layer; TOSSIM; Tiny OS; WSN; cross-layer cluster routing; energy-efficiency; network layer; network lifetime; scheduling protocol; sensor nodes; sleep-awake scheduling; wireless sensor networks; Base stations; Energy consumption; Monitoring; Protocols; Routing; Topology; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE
  • Print_ISBN
    978-1-4799-5967-9
  • Type

    conf

  • DOI
    10.1109/iThings.2014.91
  • Filename
    7059717