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
Link To Document :
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