• DocumentCode
    2211971
  • Title

    Multi-Constrained QoS Path Selection in Wireless Multimedia Sensor Networks

  • Author

    Liu, Lianggui ; Chen, Zhixin

  • Author_Institution
    Sch. of Inf. & Electron., Zhejiang Sci-Tech Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    5362
  • Lastpage
    5365
  • Abstract
    In order to transmit multi-constrained QoS multimedia flows with large scale data and information, such as image, voice and video etc., multi-constrained QoS path selection is a big challenge and a key problem need to be resolved urgently for WMSN. In this paper a novel multi-constrained QoS path selection scheme based on enhanced simulated annealing is proposed and a more refined cooling schedule is constructed while two key factors, attenuation function of control parameter T and termination value of T were concerned. Furthermore, the influence of some classical random generators on the algorithms performance is investigated. Theoretical analysis and experiment results demonstrate that the proposed method, which can greatly enhance the quality of final configuration while not sacrificing the algorithm complexity, is an effective multi-constrained QoS path selection algorithm showing better performance than the other pertinent algorithms.
  • Keywords
    multimedia communication; polynomial approximation; quality of service; random number generation; wireless sensor networks; attenuation function; enhanced simulated annealing; multi-constrained QoS path selection; wireless multimedia sensor networks; Data engineering; Finance; Image sensors; Informatics; Information science; Large-scale systems; Optimized production technology; Polynomials; Simulated annealing; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.765
  • Filename
    5454696