STUDY OF BIOLOGICALLY-INSPIRED NETWORK SYSTEMS: MAPPING COLONIES TO LARGE-SCALE NETWORKS

被引：0
作者：
Zengin, Ahmet [1 ]
Sarjoughian, Hessam [2 ]
Ekiz, Hueseyin [1 ]
机构：
[1] Sakarya Univ, Tech Educ Fac, Dept Comp Sci Educ, Serdivan, Sakarya, Turkey
[2] Arizona State Univ, Arizona Ctr Integrat Modeling & Simulat, SCh Comp & Informat, Tempe, AZ USA
来源：
EMSS 2008: 20TH EUROPEAN MODELING AND SIMULATION SYMPOSIUM | 2008年
关键词：
beehive; DEVS; networks; routing; scalability; simulation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Natural systems can offer important concepts for modeling network systems. A biologically-inspired discrete-event modeling approach is described for studying networks' scalability and performance traits. Key adaptive and emergent attributes of honeybees and their societal properties are incorporated into a set of simulation models that are developed using the Discrete Event System Specification approach. We describe our approach which is based on mapping the behavior of the honeybees to discrete event models. Large-scale network models are simulated and evaluated to show the benefits of nature-inspired network models.
引用
收藏
页码：537 / +
页数：3
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