On Neuro-inspired Wireless Sensor Networks

机译：关于神经启发的无线传感器网络

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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.

机译：无线传感器网络中节点的复杂性是决定其大小，成本和功能的重要变量。当这些因素被大大地减少到最小时，新的应用程序将成为可能，其中节点不仅在环境中确实无处不在，而且数量巨大。本文讨论了来自神经科学的概念，这些概念将对节点的小型化以及所采用的传感和通信策略的优化有用。

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来源
《IEEE 10th International Conference on Ubiquitous Intelligence and Computing; IEEE 10th International Conference on Autonomic and Trusted Computing》|2013年|589-594|共6页
会议地点 Sorrento Peninsula(IT)
作者
Peper F.; Wakamiya N.; Kasamatsu A.; Tanaka S.;
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作者单位

Center for Inf. Neural Networks, Osaka Univ., Suita, Japanc;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Wireless sensor networks; neural spiking;

机译：无线传感器网络;神经尖峰;;

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4. On Neuro-inspired Wireless Sensor Networks [C] . Peper F., Wakamiya N., Kasamatsu A., IEEE International Conference on Autonomic and Trusted Computing . 2013

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On Neuro-inspired Wireless Sensor Networks

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