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受生物启发的大规模网络传感器系统原理:概述。

Bioinspired principles for large-scale networked sensor systems: an overview.

机构信息

Aarhus School of Engineering, Aarhus University, Aarhus C, Denmark.

出版信息

Sensors (Basel). 2011;11(4):4137-51. doi: 10.3390/s110404137. Epub 2011 Apr 7.

DOI:10.3390/s110404137
PMID:22163841
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3231311/
Abstract

Biology has often been used as a source of inspiration in computer science and engineering. Bioinspired principles have found their way into network node design and research due to the appealing analogies between biological systems and large networks of small sensors. This paper provides an overview of bioinspired principles and methods such as swarm intelligence, natural time synchronization, artificial immune system and intercellular information exchange applicable for sensor network design. Bioinspired principles and methods are discussed in the context of routing, clustering, time synchronization, optimal node deployment, localization and security and privacy.

摘要

生物学在计算机科学和工程领域经常被用作灵感来源。由于生物系统与小型传感器的大型网络之间存在吸引人的类比,因此生物启发式原理已经应用于网络节点设计和研究中。本文概述了适用于传感器网络设计的生物启发式原理和方法,例如群体智能、自然时间同步、人工免疫系统和细胞间信息交换。本文在路由、聚类、时间同步、最优节点部署、定位以及安全性和隐私性等方面讨论了生物启发式原理和方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c2/3231311/9a14c747f756/sensors-11-04137f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c2/3231311/9477ba3de505/sensors-11-04137f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c2/3231311/9a14c747f756/sensors-11-04137f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c2/3231311/9477ba3de505/sensors-11-04137f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c2/3231311/9a14c747f756/sensors-11-04137f2.jpg

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本文引用的文献

1
Applications and advances in electronic-nose technologies.电子鼻技术的应用和进展。
Sensors (Basel). 2009;9(7):5099-148. doi: 10.3390/s90705099. Epub 2009 Jun 29.
2
Ant system: optimization by a colony of cooperating agents.蚁群算法:通过一群协作智能体进行优化。
IEEE Trans Syst Man Cybern B Cybern. 1996;26(1):29-41. doi: 10.1109/3477.484436.
3
An artificial immune system approach with secondary response for misbehavior detection in mobile ad hoc networks.一种具有二次响应的人工免疫系统方法用于移动自组织网络中的行为异常检测。
PLoS One. 2017 Jan 5;12(1):e0167423. doi: 10.1371/journal.pone.0167423. eCollection 2017.
4
Through the Immune Looking Glass: A Model for Brain Memory Strategies.透过免疫的镜子:大脑记忆策略模型
Front Cell Neurosci. 2016 Feb 4;10:17. doi: 10.3389/fncel.2016.00017. eCollection 2016.
5
Method for optimal sensor deployment on 3D terrains utilizing a steady state genetic algorithm with a guided walk mutation operator based on the wavelet transform.利用基于小波变换的稳态遗传算法和引导步行突变算子在三维地形上进行最优传感器部署的方法。
Sensors (Basel). 2012;12(4):5116-33. doi: 10.3390/s120405116. Epub 2012 Apr 19.
6
Bioinspired sensor systems.仿生传感器系统。
Sensors (Basel). 2011;11(11):10180-6. doi: 10.3390/s111110180. Epub 2011 Oct 26.
IEEE Trans Neural Netw. 2005 Sep;16(5):1076-87. doi: 10.1109/TNN.2005.853419.
4
Architecture for an artificial immune system.一种人工免疫系统的架构。
Evol Comput. 2000 Winter;8(4):443-73. doi: 10.1162/106365600568257.
5
Complexity in biological signaling systems.生物信号系统中的复杂性。
Science. 1999 Apr 2;284(5411):92-6. doi: 10.1126/science.284.5411.92.
6
Pattern formation by lateral inhibition with feedback: a mathematical model of delta-notch intercellular signalling.具有反馈的侧向抑制模式形成:Delta-Notch 细胞间信号传导的数学模型
J Theor Biol. 1996 Dec 21;183(4):429-46. doi: 10.1006/jtbi.1996.0233.