Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/3398
Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: A Novel Agent-Based Simulation Framework for Sensing in Complex Adaptive Environments
Author(s): Niazi, Muaz A K
Hussain, Amir
Contact Email: thhgttg@gmail.com
Keywords: Wireless Sensor Networks
Formal Specification
Agent-based Simulation
Modeling
Boids
flocking
complex adaptive system
CACOONS
Computational intelligence
Sensor networks
Issue Date: Feb-2011
Date Deposited: 6-Oct-2011
Citation: Niazi MAK & Hussain A (2011) A Novel Agent-Based Simulation Framework for Sensing in Complex Adaptive Environments. IEEE Sensors Journal, 11 (2), pp. 404-412. https://doi.org/10.1109/JSEN.2010.2068044
Abstract: In this paper we present a novel Formal AgentBased Simulation framework (FABS). FABS uses formal specification as a means of clear description of wireless sensor networks (WSN) sensing a Complex Adaptive Environment. This specification model is then used to develop an agent-based model of both the wireless sensor network as well as the environment. As proof of concept, we demonstrate the application of FABS to a boids model of self-organized flocking of animals monitored by a random deployment of proximity sensors.
DOI Link: 10.1109/JSEN.2010.2068044
Rights: Published in IEEE Sensors Journal. © Copyright 2011 IEEE.; (c) 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.

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