Bioinspired Principles for Large-Scale Networked Sensor Systems: An Overview

被引:13
|
作者
Jacobsen, Rune Hylsberg [1 ]
Zhang, Qi [1 ]
Toftegaard, Thomas Skjodeberg [1 ]
机构
[1] Aarhus Univ, Aarhus Sch Engn, DK-8000 Aarhus C, Denmark
关键词
sensors networks; biologically inspired computing; swarm intelligence; ant colony optimization (ACO); particle swarm optimization (PSO); natural time synchronization; artificial immune system (AIS); intercellular information exchange; INSPIRED NETWORKING; SYNCHRONIZATION; PROTOCOL; MODEL;
D O I
10.3390/s110404137
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页码:4137 / 4151
页数:15
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