eprintid: 2247
rev_number: 19
eprint_status: archive
userid: 337
dir: disk0/00/00/22/47
datestamp: 2016-12-25 16:59:07
lastmod: 2017-12-21 23:05:20
status_changed: 2017-12-21 23:05:20
type: conference_item
metadata_visibility: show
creators_name: Hoang, Anh Quy
creators_name: Pham, Minh Trien
creators_id: quyha@vnu.edu.vn
creators_id: trienpm@vnu.edu.vn
title: Swarm Intelligence-Based Approach for Macroscopic Scale Odor Source Localization Using Multi-robot System
ispublished: pub
subjects: ECE
subjects: ElectronicsandComputerEngineering
divisions: fac_fet
abstract: Odor source localization is a problem of great importance. Two mainstream methods among numerous proposed ones are probabilistic algorithms and bio-inspired algorithms. Compared to probabilistic algorithms, biomimetic approaches are much less intensive in term of computational cost. Thus, despite their slightly worse performance, biomimetic approaches have received much more attention. In this paper, a novel method based on a bio-inspired algorithm - Particle Swarm Optimization (PSO) - is proposed for a multi-robot system (MRS). The proposed algorithm makes use of wind information and immediate odor gradient to enhance the performance of the MRS. A mechanism based on Artificial Potential Field (APF) is utilized to ensure non-collision movement of the robots. This method is tested by simulation on Matlab. Data for the test scenarios, all in large scales, are generated using Fluent. Nearly 2000 runs are carried out and the simulation results confirm the proposed algorithm’s effectiveness.
date: 2017
date_type: published
publisher: Springer
official_url: http://www.springer.com/gp/book/9783319490724
id_number: 10.1007/978-3-319-49073-1_63
contact_email: quyha@vnu.edu.vn
full_text_status: restricted
pres_type: lecture
publication: Advances in Information and Communication Technology
volume: 538
pagerange: 593-602
event_title: International Conference on Advances in Information and Communication Technology
event_location: Vietnam
event_dates: 12-13, Dec., 2016
event_type: conference
refereed: TRUE
isbn: 978-3-319-49073-1
issn: 2194-5357
book_title: Advances in Information and Communication Technology Proceedings of the International Conference, ICTA 2016
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funders: Vietnam National University, Hanoi
projects: QG.15.25
citation:   Hoang, Anh Quy and Pham, Minh Trien  (2017) Swarm Intelligence-Based Approach for Macroscopic Scale Odor Source Localization Using Multi-robot System.  In: International Conference on Advances in Information and Communication Technology, 12-13, Dec., 2016, Vietnam.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2247/1/Paper7.pdf