Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/3371
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Sensing Emergence in Complex Systems
Authors: Niazi, Muaz A K
Hussain, Amir
Contact Email: thhgttg@gmail.com
Keywords: Event detection
Multiagent systems
Agent-based simulation
complex adaptive system
environment
flocking
cognitive sensor network
Wireless sensor network
Issue Date: Oct-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Niazi MAK & Hussain A (2011) Sensing Emergence in Complex Systems, IEEE Sensors Journal, 11 (10), pp. 2479-2480.
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.
Type: Journal Article
URI: http://hdl.handle.net/1893/3371
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5750012&isnumber=5975325
DOI Link: http://dx.doi.org/10.1109/JSEN.2011.2142303
Rights: Published in IEEE Sensors Journal. © Copyright 2011 IEEE.; © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Affiliation: COMSATS Institute of IT
Computing Science - CSM Dept

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