• DocumentCode
    3156982
  • Title

    Attack-resistant power management scheme for wireless sensor network

  • Author

    Kun-Lin Tsai ; Mengyuan Ye ; Shiu-Hua Tsai ; Yu-Yuan Wang ; Yi-Hao Zhuang

  • Author_Institution
    Dept. of Electr. Eng., Tunghai Univ., Taichung, Taiwan
  • fYear
    2015
  • fDate
    29-31 May 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Wireless sensor networks (WSNs) which powered by batteries are widely used in military, healthcare, and scientific environments. One important challenge for setting WSN is the energy problem. Power management is one of efficient solutions for such problem and must be taken into account at all levels of the WSN. However, the power management may be out of action when the WSN suffers malicious attacks. In this paper, an Attack-Resistant Power Management (A-RPM for short) scheme is proposed for WSN to deal with the energy problem and prolong the operating time of sensor nodes as well as coordinators. Most importantly, the A-RPM is still effectual when WSN under malicious attacks such as denial-of-service attack. The A-RPM efficiently turns WSN nodes into sleep mode, which consumes less energy, but requires higher latency to awaken, when these nodes are idle and wake them up when necessary. A token based operating mode transition policy is developed to control the power of WSN nodes. Our simulation result shows that the A-RPM effectively reduces power consumption up to 16.35% when the network suffer malicious attacks compared with that of the standard power management scheme.
  • Keywords
    telecommunication power management; telecommunication security; wireless sensor networks; A-RPM; WSN; attack resistant power management scheme; attack-resistant power management; batteries; denial-of-service attack; energy problem; healthcare; malicious attacks; military; power management; scientific environments; sensor nodes; sleep mode; standard power management scheme; transition policy; wireless sensor network; Batteries; Mathematical model; Power demand; Security; Simulation; Switches; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Robotics and Intelligent Systems (ARIS), 2015 International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ARIS.2015.7158359
  • Filename
    7158359