• DocumentCode
    2687844
  • Title

    Lifetime maximization in mobile sensor networks with energy harvesting

  • Author

    Yu, Shengwei ; Lee, C. S George

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2011
  • fDate
    9-13 May 2011
  • Firstpage
    5911
  • Lastpage
    5916
  • Abstract
    This paper investigates mobility strategies of mobile robots to improve the lifetime of a mobile sensor network with energy harvesting capability. The network lifetime problem is formulated as a nonlinear non-convex optimization problem, which is solved distributively by a series of convex approximations and a novel saddle-point computation algorithm. The convergence of the proposed method is guaranteed. Computer simulations showed quick convergence to the optimal solution in most cases, and verified the use of mobility for energy efficiency by showing its significant improvement to the network lifetime and relatively low cost in mobility.
  • Keywords
    concave programming; energy conservation; mobile robots; nonlinear programming; sensors; convex approximation; energy efficiency; energy harvesting capability; lifetime maximization; mobile robot; mobile sensor network; mobility strategy; nonlinear nonconvex optimization problem; saddle-point computation algorithm; Approximation algorithms; Approximation methods; Mobile communication; Mobile computing; Mobile robots; Robot sensing systems; Distributed Robot Systems; Energy Harvesting; Robotic Sensor Networks; Saddle-Point Computation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-61284-386-5
  • Type

    conf

  • DOI
    10.1109/ICRA.2011.5979588
  • Filename
    5979588