Comparison of MANET self-organization methods for boundary detection/tracking of heavy gas cloud

Mateusz Krzysztoń

Abstract

Mobile wireless ad hoc network (MANET) becomes increasingly popular in responding to emergency situation. In this paper a possibility to support rescue team in monitoring heavy gas cloud with MANET comprised of mobile sensing devices is investigated. In the view of the current state of research, two methods for controlling mobile sensing devices during MANET self-organization are presented. The first one is based on a greedy approach whereas the second on a repulsion from the estimated centroid of a cloud and other nodes. Various variants of both methods are considered and their efficiency in terms of detection quality and energy saving is evaluated with MobASim simulation software. The results are discussed and one variant is chosen as the basis for the future research.
Author Mateusz Krzysztoń (FEIT / AK)
Mateusz Krzysztoń,,
- The Institute of Control and Computation Engineering
Pages1075-1084
Publication size in sheets0.5
Book Ganzha Maria, Maciaszek Leszek A., Paprzycki Marcin (eds.): Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, Annals of Computer Science and Information Systems, vol. 5, 2016, Gdańsk, IEEE, ISBN 978-83-60810-65-1, [ 978-83-60810-67-5, 978-83-60810-66-8], 1817 p., DOI:10.15439/978-83-60810-66-8
2016 fedcsis.pdf / No licence information (file archived - login or check accessibility on faculty)
DOIDOI:10.15439/2016F240
URL https://fedcsis.org/proceedings/2016/pliks/240.pdf
ProjectDevelopment of methodology of control, decision support and production management. Project leader: Zieliński Cezary, , Phone: 5102, start date 19-05-2015, end date 31-12-2016, 504/02233/1031, Completed
WEiTI Działalność statutowa
Languageen angielski
File
Krzyszton Fedcis2016.pdf 874.09 KB
Score (nominal)0
Score sourcejournalList
ScoreMinisterial score = 0.0, 02-02-2020, BookChapterSeriesAndMatConfByIndicator
Ministerial score (2013-2016) = 0.0, 02-02-2020, BookChapterSeriesAndMatConfByIndicator
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