DocumentCode
1494150
Title
Sensing Emergence in Complex Systems
Author
Niazi, Muaz A. ; Hussain, Amir
Author_Institution
Sch. of Natural Sci., Univ. of Stirling, Stirling, UK
Volume
11
Issue
10
fYear
2011
Firstpage
2479
Lastpage
2480
Abstract
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.
Keywords
adaptive systems; distributed sensors; emergent phenomena; large-scale systems; multi-agent systems; sensor arrays; sensor fusion; aggregated data; complex adaptive system; complex system; emergent behavior sensing; formal agent based simulation framework; proximity sensors array; randomly deployed sensors; Adaptation model; Adaptive systems; Intelligent sensors; Robot sensing systems; Sensor arrays; Agent-based simulation; cognitive sensor networks; complex adaptive system (cas); environment; event detection; flocking; multiagent systems;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2011.2142303
Filename
5750012
Link To Document