Research Article
Neuron Inspired Collaborative Transmission in Wireless Sensor Networks
@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
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.
