• DocumentCode
    232213
  • Title

    Joint optimization of node selection and power allocation in wireless sensor networks

  • Author

    Kaiyue An ; Kai Sun ; Wei Huang ; Hongxia Zhang ; Lei Zhang

  • Author_Institution
    Coll. of Electron. Inf. Eng., Inner Mongolia Univ., Hohhot, China
  • fYear
    2014
  • fDate
    19-23 Oct. 2014
  • Firstpage
    2211
  • Lastpage
    2215
  • Abstract
    Energy efficiency (EE) is an important factor for the deployment of wireless sensor networks. Cooperative communication can help to reduce energy consumption for long distance data transmission. This paper mainly presents the joint optimization of node selection and power allocation for cooperative communication in wireless sensor networks. The proposed brute force approach based on optimal power allocation method can maximize EE with power constraint, and the optimal power allocation is presented as a closed-form solution by solving Lagrangian function. To reduce further complexity, the greedy node selection method is proposed. Finally, numerical results show that the proposed greedy node selection scheme can obtain the performance almost identical to the brute force approach through MATLAB simulation.
  • Keywords
    cooperative communication; optimisation; sensor placement; telecommunication power management; wireless sensor networks; Lagrangian function; WSN deployment; cooperative communication; energy efficiency; joint optimization; node selection; optimal power allocation method; wireless sensor networks; Complexity theory; Cooperative communication; Energy efficiency; Force; Optimization; Resource management; Wireless sensor networks; Power allocation; cooperative communication; energy efficiency; node selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2014 12th International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4799-2188-1
  • Type

    conf

  • DOI
    10.1109/ICOSP.2014.7015387
  • Filename
    7015387