Spatial data clustering in independent mobile environment

Bartłomiej Kamil Gajewski , Tomasz Martyn


Most geolocation applications for mobile devices assume a constant connection with the network and high computational power nodes. However, with ever-developing devices it now becomes possible to establish peer-to-peer networks in case when the network can be unreachable due to special circumstances (like conflicts or natural disasters). In this paper, a method for clustering spatial data in mobile environment is discussed. A simple solution based on OPTICS algorithm with lexical distance is proposed for grouping the observations.
Author Bartłomiej Kamil Gajewski (FEIT / IN)
Bartłomiej Kamil Gajewski,,
- The Institute of Computer Science
, Tomasz Martyn (FEIT / IN)
Tomasz Martyn,,
- The Institute of Computer Science
Journal seriesMeasurement Automation Monitoring, [Pomiary Automatyka Kontrola], ISSN 2450-2855, [0032-4140]
Issue year2016
Publication size in sheets0.3
Keywords in Englishpeer-to-peer, data clustering, OPTICS, mobile, lexical distance
ProjectDevelopment of new algorithms in the areas of software and computer architecture, artificial intelligence and information systems and computer graphics . Project leader: Rybiński Henryk, , Phone: +48 22 234 7731, start date 18-05-2015, end date 30-11-2016, II/2015/DS/1, Completed
WEiTI Działalność statutowa
Languageen angielski
LicenseJournal (articles only); author's original; Uznanie Autorstwa (CC-BY); after publication
artykul _BG_TM.pdf 468.42 KB
Score (nominal)11
Score sourcejournalList
ScoreMinisterial score = 11.0, 01-02-2020, ArticleFromJournal
Ministerial score (2013-2016) = 11.0, 01-02-2020, ArticleFromJournal
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