• DocumentCode
    651910
  • Title

    Energy-Efficient Broadcast Scheduling with Minimum Latency for Low-Duty-Cycle Wireless Sensor Networks

  • Author

    Lijie Xu ; Jiannong Cao ; Shan Lin ; Haipeng Dai ; Xiaobing Wu ; Guihai Chen

  • Author_Institution
    State Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing, China
  • fYear
    2013
  • fDate
    14-16 Oct. 2013
  • Firstpage
    163
  • Lastpage
    167
  • Abstract
    For low-duty-cycle wireless sensor networks, multihop broadcasting is a challenging problem, since every node has its own working schedules. In this paper, we design a novel broadcasting algorithm, of which key idea is to let some early wake-up nodes postpone their wake-up slots to overhear broadcasting message from its neighbors. This design utilizes the spatiotemporal locality of broadcasting to reduce the number of transmissions. We show that to find the broadcasting schedule with minimal latency and optimized total energy consumption is NP-hard, and then design an approximation algorithm that can guarantee the optimality of broadcasting latency and achieve a polylogarithmic approximation ratio for total energy consumption. Compared with the traditional solution, extensive experimental results show that our algorithm achieves the minimal broadcasting latency while reducing energy consumption significantly.
  • Keywords
    approximation theory; energy conservation; optimisation; power consumption; radio broadcasting; spatiotemporal phenomena; wireless sensor networks; NP hard; broadcasting message; energy consumption; energy efficient broadcast scheduling; low duty cycle wireless sensor networks; minimum latency; multihop broadcasting; polylogarithmic approximation ratio; spatiotemporal locality; wake up slots; Approximation methods; Broadcasting; Energy consumption; Schedules; Spatiotemporal phenomena; Steiner trees; Wireless sensor networks; broadcast scheduling; energy efficient; low-duty-cycle WSNs; minimal latency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Ad-Hoc and Sensor Systems (MASS), 2013 IEEE 10th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/MASS.2013.47
  • Filename
    6680236