• DocumentCode
    2543365
  • Title

    Mobility and routing joint design for lifetime maximization in mobile sensor networks

  • Author

    Yu, Shengwei ; Lee, C. S George

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2011
  • fDate
    25-30 Sept. 2011
  • Firstpage
    2300
  • Lastpage
    2305
  • Abstract
    The positions of mobile sensor nodes and the routing of sensing data to a base station for processing have major impact on the lifetime of a mobile sensor network. Based on our previous work on mobility for lifetime maximization, this paper investigates simultaneously designing mobility and routing strategies of robotic sensor nodes to improve the lifetime of a mobile sensor network. The network lifetime problem was formulated as a nonlinear non-convex optimization problem and is solved distributedly by a series of convex approximations and a proposed novel algorithm. Computer simulations illustrated quick convergence to the solution, and the lifetime of the network was improved tremendously. By comparison, the proposed joint design method has an edge over other methods, which further justifies the use of mobility for energy efficiency in robotic sensor networks.
  • Keywords
    approximation theory; concave programming; design; energy conservation; mobile robots; mobility management (mobile radio); nonlinear programming; telecommunication control; telecommunication network routing; wireless sensor networks; base station; computer simulation; convex approximation; energy efficiency; lifetime maximization; mobile sensor network; mobility strategy designing; nonlinear nonconvex optimization problem; robotic sensor network; robotic sensor nodes; routing joint design; routing strategy designing; sensing data routing; Approximation algorithms; Approximation methods; Mobile communication; Mobile computing; Robot sensing systems; Routing; Distributed Robot Systems; Robotic Sensor Networks; Saddle-Point Computation; Sequential Convex Approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-61284-454-1
  • Type

    conf

  • DOI
    10.1109/IROS.2011.6094564
  • Filename
    6094564