• DocumentCode
    3594539
  • Title

    Optimal power allocation for the maximization of energy efficiency in wireless sensor networks

  • Author

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

  • Author_Institution
    Coll. of Electron. Inf. Eng., Inner Mongolia Univ., Hohhot, China
  • fYear
    2014
  • Firstpage
    491
  • Lastpage
    495
  • 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 optimal power allocation scheme for cooperative communication in wireless sensor networks. We formulate the EE maximization problem with power constraint, and show that this problem, albeit being non-convex, possesses an interesting quasi-convex property in the reformulated form. By exploiting this property, the optimal problem is shown to be solvable availably via Lagrangian function and bisection method, and the optimal power allocation is presented as a closed-form solution. Finally, numerical results show that the proposed power allocation can improve the system performance compared to the conventional equal power allocation through MATLAB simulation.
  • Keywords
    cooperative communication; data communication; energy conservation; energy consumption; optimisation; wireless sensor networks; EE maximization problem; Lagrangian function; Matlab simulation; bisection method; closed-form solution; cooperative communication; energy consumption reduction; energy efficiency maximization; long distance data transmission; nonconvex property; optimal power allocation scheme; power constraint; quasiconvex property; system performance improvement; wireless sensor networks; Cooperative Communication; Energy Efficiency; Power Allocation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM 2014), 10th International Conference on
  • Print_ISBN
    978-1-84919-845-5
  • Type

    conf

  • DOI
    10.1049/ic.2014.0151
  • Filename
    7129679