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1

Centre for Research in Distributed Technologies, University of Bedfordshire, Park Square, Luton, LU1 3JU, UK

2

School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK





*

Author to whom correspondence should be addressed.



Abstract Inspired by the simplicity of how nature solves its problems, this paper presents a novel approach that would enable a swarm of ant robotic agents robots with limited sensing, communication, computational and memory resources form a visual representation of distributed hazardous substances within an environment dominated by diffusion processes using a decentralized approach. Such a visual representation could be very useful in enabling a quicker evacuation of a city’s population affected by such hazardous substances. This is especially true if the ratio of emergency workers to the population number is very small. View Full-Text

Keywords: bio-inspiration; ant agents; optimal coverage; pollution monitoring; bacterial foraging bio-inspiration; ant agents; optimal coverage; pollution monitoring; bacterial foraging





Autor: John Oyekan 1,* and Huosheng Hu 2

Fuente: http://mdpi.com/



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