Sensing Emergence in Complex Systems

被引：14
|
作者：
Niazi, Muaz A. [1 ,2 ]
Hussain, Amir [1 ]
机构：
[1] Univ Stirling, Sch Nat Sci, Stirling FK9 4LA, Scotland
[2] COMSATS Inst IT, Islamabad 44000, Pakistan
来源：
IEEE SENSORS JOURNAL | 2011年 / 11卷 / 10期
关键词：
Agent-based simulation; cognitive sensor networks; complex adaptive system (cas); environment; event detection; flocking; multiagent systems;
D O I：
10.1109/JSEN.2011.2142303
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We propose the Sensing of Emergent behavior in a Complex Adaptive System (SECAS), as an extension of our previous work Formal Agent-Based Simulation Framework (FABS). Using aggregated data from an array of proximity sensors, SECAS allows for the detection of complex behavior such as flocking of mobile robots or life forms. For validation, we develop an agent-based simulation model. Extensive simulation experiments using a wide range of randomly deployed sensors demonstrate the effectiveness of SECAS in the sensing of flocking.
引用
收藏
页码：2479 / 2480
页数：2
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