Mobile and Ubiquitous Systems: Computing, Networking, and Services. 8th International ICST Conference, MobiQuitous 2011, Copenhagen, Denmark, December 6-9, 2011, Revised Selected Papers

Research Article

Neuron Inspired Collaborative Transmission in Wireless Sensor Networks

Download
452 downloads
  • @INPROCEEDINGS{10.1007/978-3-642-30973-1_28,
        author={Stephan Sigg and Predrag Jakimovski and Florian Becker and Hedda Schmidtke and Alexander Neumann and Yusheng Ji and Michael Beigl},
        title={Neuron Inspired Collaborative Transmission in Wireless Sensor Networks},
        proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 8th International ICST Conference, MobiQuitous 2011, Copenhagen, Denmark, December 6-9, 2011, Revised Selected Papers},
        proceedings_a={MOBIQUITOUS},
        year={2012},
        month={10},
        keywords={computational neuroscience neuronal networks (NN) distributed adaptive beamforming artificial intelligence (AI) collaborative communication superimposed signals context recognition},
        doi={10.1007/978-3-642-30973-1_28}
    }
    
  • Stephan Sigg
    Predrag Jakimovski
    Florian Becker
    Hedda Schmidtke
    Alexander Neumann
    Yusheng Ji
    Michael Beigl
    Year: 2012
    Neuron Inspired Collaborative Transmission in Wireless Sensor Networks
    MOBIQUITOUS
    Springer
    DOI: 10.1007/978-3-642-30973-1_28
Stephan Sigg1,*, Predrag Jakimovski2,*, Florian Becker2,*, Hedda Schmidtke2,*, Alexander Neumann2,*, Yusheng Ji1,*, Michael Beigl2,*
  • 1: National Institute of Informatics (NII)
  • 2: Karlsruhe Institute of Technology (KIT)
*Contact email: sigg@nii.ac.jp, jakimov@teco.edu, becker@teco.edu, schmidtke@teco.edu, neumann@teco.edu, kei@nii.ac.jp, michael@teco.edu

Abstract

We establish a wireless sensor network that emulates biological neuronal structures for the purpose of creating smart spaces. Two different types of wireless nodes working together are used to mimic the behaviour of a neuron consisting of dendrites, soma and synapses. The transmission among nodes that establish such a neuron structure is established by distributed beamforming techniques to enable simultaneous information transmission among neurons. Through superposition of transmission signals, data from neighbouring nodes is perceived as background noise and does not interfere. In this way we show that beamforming and computation on the channel can be powerful tools to establish intelligent sensing systems even with minimal computational power.