Heavy Gas Cloud Boundary Estimation and Tracking using Mobile Sensors

Mateusz Krzysztoń , Ewa Niewiadomska-Szynkiewicz


This paper addresses issues concerned with design and managing of monitoring systems comprised of mobile wireless sensing devices (MANETs). The authors focus on self-organizing, cooperative and coherent networks that maintain a continuous communication with a central operator and adopt to changes in an unknown environment to achieve a given goal. The attention is focused on the development of MANET for heavy gas clouds detection and its boundary estimating and tracking. Two strategies for constructing the MANET are described, in which sensors explore the region of interest to detect the gas cloud, create temporary network topology and finally, cover the cloud boundary, and track the moving cloud. The utility and efficiency of the proposed strategies has been justified through simulation experiments.
Author Mateusz Krzysztoń (FEIT / AK) - [Scientific and Academic Computer Network (NASK PIB)]
Mateusz Krzysztoń,,
- The Institute of Control and Computation Engineering
- Naukowa i Akademicka Sieć Komputerowa
, Ewa Niewiadomska-Szynkiewicz (FEIT / AK)
Ewa Niewiadomska-Szynkiewicz,,
- The Institute of Control and Computation Engineering
Journal seriesJournal of Telecommunications and Information Technology, ISSN 1509-4553, e-ISSN 1899-8852
Issue year2016
Publication size in sheets0.55
Keywords in Englishdeployment strategies, heavy gas cloud boundary tracking, MANET, mobile ad hoc network, mobility models, sensor networks
ASJC Classification2208 Electrical and Electronic Engineering; 1705 Computer Networks and Communications
URL http://www.nit.eu/czasopisma/JTIT/2016/3/38.pdf
Languageen angielski
LicenseJournal (articles only); author's original; Other open licence; after publication
Krzyszton Ens JTiT 2016.pdf 1.61 MB
Score (nominal)12
Score sourcejournalList
ScoreMinisterial score = 12.0, 18-05-2020, ArticleFromJournal
Ministerial score (2013-2016) = 12.0, 18-05-2020, ArticleFromJournal
Publication indicators WoS Citations = 1; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.473
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