Low-Complexity Nanosensor Networking Through Spike-Encoded Signaling
Low-Complexity Nanosensor Networking Through Spike-Encoded Signaling
复制标题
通过尖峰编码信号的低复杂性纳米传感器网络
DOI：
10.1109/jiot.2015.2472291
复制
发表时间：
2016
影响因子：
10.6
通讯作者：
N. Wakamiya
中科院分区：
文献类型：
--
作者：
F. Peper;K. Leibnitz;Jun;T. Shimokawa;N. Wakamiya
Nano-Things Internet将采用无线传感器节点，这些传感器节点不仅尺寸非常小，而且数量大，而且在电源中也受到严格限制。虽然此类网络设计的很大一部分将依赖于物理方面的工程，例如开发技术以进行有效的能量收集，传感和交流，但通过淋巴结操作的算法也将发挥重要作用最佳用途是由有限的能源供应制成的。本文讨论了将促进此类算法设计的概念，例如基于尖峰的信号编码和通过八卦进行数据聚集。我们提出了一种使用基于非包装尖峰的通信从传感器网络中提取信息的方法，并与节点之间的局部交互。与其从每个单个节点收集传感器值并将其发送到中心目的地节点，不如通过节点之间的相互作用来处理来自节点的测量值，而在网络中扩散，以获得所有节点测量值的集成值特征。
The Internet of Nano-Things will employ wireless sensor nodes that are not only extremely small in size and large in number but also severely restricted in their power supply. While a large part of the design of such networks will rely on the engineering of physical aspects, such as developing technology for efficient energy harvesting, sensing, and communication, a significant role will also be played by the algorithms underlying the operation of nodes to ensure that optimal use is made of the limited supply of energy. This paper discusses concepts that will facilitate the design of such algorithms, such as spike-based encoding of signals and data aggregation through gossiping. We propose a method to extract information from a sensor network using nonpacket spike-based communication with local interactions between nodes. Rather than gathering sensor values from each individual node and sending them to a central destination node, measurements from the nodes are processed through the interactions between nodes, while diffusing in the network, to obtain an integrated value characteristic for all nodes' measurements.
影响因子：
2.5
作者：
Reich, DS;Mechler, F;Victor, JD
通讯作者：
Victor, JD