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Flock inspired area coverage using wireless boid-like sensor agents

Chibaya, Colin and Bangay, Shaun 2008, Flock inspired area coverage using wireless boid-like sensor agents, in EUROSIM/UKSim : Proceedings. UKSim Tenth International Conference on Computer Modelling and Simulation, IEEE Computer Society Conference Publishing Services (CPS), Los Alamitos, CA, pp. 144-149, doi: 10.1109/UKSIM.2008.102.

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Title Flock inspired area coverage using wireless boid-like sensor agents
Author(s) Chibaya, Colin
Bangay, Shaun
Conference name International Conference on Computer Modelling and Simulation (10th. 2008 : Cambridge, U.K.)
Conference location Cambridge, UK
Conference dates 1-3 Apr. 2008
Title of proceedings EUROSIM/UKSim : Proceedings. UKSim Tenth International Conference on Computer Modelling and Simulation
Editor(s) Al-Dabass, David
Orsoni, Alessandra
Brentnall, Adam
Abraham, Ajith
Zobel, Richard
Publication date 2008
Conference series International Conference on Computer Modelling and Simulation
Start page 144
End page 149
Total pages 762
Publisher IEEE Computer Society Conference Publishing Services (CPS)
Place of publication Los Alamitos, CA
Keyword(s) cohesion
coverage quality
mean free path
perching
separation
Summary Simulated flocking is achievable using three boid rules [13]. We propose an area coverage model inspired by Reynolds’ flocking algorithm, investigating strategies for achieving quality coverage using flocking rules. Our agents are identical and autonomous, using only local sensory information for indirect communication. Upon deployment, agents are in the default separation mode. The cohesion rule would then guarantee that agents remain within the swarm, covering spaces with explored neighbour spaces. Four experiments are conducted to evaluate our model in terms of coverage quality achieved. We firstly investigate agents’ separation speed before the speed with which isolated agents re-organizes is investigated. The third experiment compares coverage quality achieved using our model with coverage quality achieved using random guessing. Finally, we investigate fault tolerance in the event of agents’ failures. Our model exhibits good separation and cohesion speed, achieving high quality coverage. Additionally, the model is fault tolerant and adaptive to agents’ failures.


ISBN 9780769531144
0769531148
Language eng
DOI 10.1109/UKSIM.2008.102
Field of Research 080102 Artificial Life
Socio Economic Objective 890299 Computer Software and Services not elsewhere classified
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2008, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30039205

Document type: Conference Paper
Collection: School of Information Technology
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