Article
Details
Citation
Niazi MAK & Hussain A (2011) Sensing Emergence in Complex Systems. IEEE Sensors Journal, 11 (10), pp. 2479-2480. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5750012&isnumber=5975325; https://doi.org/10.1109/JSEN.2011.2142303
Abstract
We propose the Sensing of Emergent behavior in a Complex Adaptive System (SECAS), 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 agentbased simulation model. Extensive simulation experiments using a wide range of randomly deployed sensors demonstrate the effectiveness of SECAS in the sensing of flocking.
Keywords
Event detection; Multiagent systems; Agent-based simulation; complex adaptive system; environment; flocking; cognitive sensor network; Wireless sensor network; Computer simulation; Simulation methods; Computer networks
Journal
IEEE Sensors Journal: Volume 11, Issue 10
Status | Published |
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Publication date | 31/10/2011 |
URL | http://hdl.handle.net/1893/3371 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Publisher URL | http://ieeexplore.ieee.org/…isnumber=5975325 |
ISSN | 1530-437X |