Neuron Inspired Collaborative Transmission in Wireless Sensor Networks
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.
Keywordscomputational neuroscience neuronal networks (NN) distributed adaptive beamforming artificial intelligence (AI) collaborative communication superimposed signals context recognition
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