• DocumentCode
    653223
  • Title

    Energy-Efficient and Low-Delay Scheduling Strategy for Low Power Wireless Sensor Network

  • Author

    Zheng Zhang ; Zhenbo Li ; Jiapin Chen

  • Author_Institution
    Res. Inst. of Micro & Nano Sci. & Technol., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    626
  • Lastpage
    631
  • Abstract
    Energy consumption is a critical factor in wireless sensor network (WSN) and the radio is recognized as a major source of energy consumption in sensor nodes, therefore, many energy-efficient MAC protocols have been developed. The Scheduled Channel Polling-MAC (SCP) protocol minimizes the preamble by combining preamble sampling and scheduling techniques, it is very energy efficient, especially at very low duty cycles. However, due to its synchronization procedure, it results in increased contention and delay. In this paper, we propose an energy-efficient and low-delay scheduling strategy for MAC layer, which inherits good features from SCP-MAC while considering reducing delay and contention in the context of remote monitoring and data gathering applications in IEEE 802.15.4 WSN. Therefore, our strategy allow for much longer network lifetime while satisfying the delay constraints. The simulations and experiments show the performance of the proposed strategy.
  • Keywords
    Zigbee; access protocols; energy consumption; scheduling; synchronisation; wireless sensor networks; IEEE 802.15.4; MAC layer; MAC protocol; WSN; data gathering; energy consumption; low-delay scheduling; network lifetime; remote monitoring; sensor nodes; wireless sensor network; Delays; Energy consumption; Energy efficiency; Protocols; Schedules; Synchronization; Wireless sensor networks; Energy-Efficient; Low-Delay; Scheduling; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.116
  • Filename
    6682130