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
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