• DocumentCode
    2522841
  • Title

    An Improved Matrix Key Pre-distribution Scheme for Wireless Sensor Networks

  • Author

    Chen, Ni ; Yao, Jian-Bo ; Wen, Guang-Jun

  • Author_Institution
    Key Lab. of Broadband Opt. Fiber Transm. & Commun. Networks, Univ. of Electron. Sci. & Technol. of China, Chengdu
  • fYear
    2008
  • fDate
    29-31 July 2008
  • Firstpage
    40
  • Lastpage
    45
  • Abstract
    Wireless sensor networks are widely applied in various applications. But due to the resource-constrained sensor nodes and the malicious attacks, the traditional key management schemes are not suitable for the network. Based on the particularities, many relevant key management schemes are developed for wireless sensor networks. This paper proposes an improved matrix key-distribution scheme for wireless sensor networks. This scheme can delete and update key information with the network topology changes to avoid key information to be revealed. Also, base on the clustered structure, this scheme can reduce communication, computation and key storage overhead, which can solve the problem that each sensor node has limited resource. Comparison and simulation results show that the proposed scheme can perform better than most of the existing key management schemes in the network security, key storage overhead.
  • Keywords
    matrix algebra; telecommunication network topology; telecommunication security; wireless sensor networks; matrix key predistribution scheme; network security; network topology; wireless sensor network; Communication networks; Computer architecture; Educational technology; Embedded software; Laboratories; Network topology; Optical fibers; Patient monitoring; Symmetric matrices; Wireless sensor networks; key pre-distribution; matrix; network topology; the clustered structure; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Software and Systems, 2008. ICESS '08. International Conference on
  • Conference_Location
    Sichuan
  • Print_ISBN
    978-0-7695-3287-5
  • Type

    conf

  • DOI
    10.1109/ICESS.2008.44
  • Filename
    4595536