• DocumentCode
    3116104
  • Title

    On Neuro-inspired Wireless Sensor Networks

  • Author

    Peper, Ferdinand ; Wakamiya, Naoki ; Kasamatsu, Akifumi ; Tanaka, Shoji ; Leibnitz, K. ; Teramae, Jun-nosuke ; Kasai, Keisuke ; Otomo, Akira

  • Author_Institution
    Center for Inf. & Neural Networks, Osaka Univ., Suita, Japan
  • fYear
    2013
  • fDate
    18-21 Dec. 2013
  • Firstpage
    589
  • Lastpage
    594
  • Abstract
    The complexity of nodes in wireless sensor networks is an important variable that determines their size, cost, and functionality. When these factors are drastically minimized, new applications become possible in which nodes are not only truly ubiquitous in the environment, but also available in huge numbers. This article discusses concepts from neuroscience that will be useful in the miniaturization of nodes as well as in the optimization of the sensing and communication strategies employed.
  • Keywords
    biotechnology; nanosensors; optimisation; pulse position modulation; wireless sensor networks; biotechnology; neuro-inspired wireless sensor networks; neuroscience; node miniaturization; pulse position modulation; sensing optimization; Complexity theory; Encoding; Neurons; Sensors; Temperature measurement; Wireless communication; Wireless sensor networks; Wireless sensor networks; neural spiking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Intelligence and Computing, 2013 IEEE 10th International Conference on and 10th International Conference on Autonomic and Trusted Computing (UIC/ATC)
  • Conference_Location
    Vietri sul Mere
  • Print_ISBN
    978-1-4799-2481-3
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2013.88
  • Filename
    6726264