Autonomous drone for delay-tolerant networks in indoor applications

Radosław Olgierd Schoeneich , Marcin Golański , Bartosz Krok , Paweł Czermiński


This article presents the idea and application of autonomous drones as mobile message ferries in delay-tolerant networks. The delay-tolerant network communication bases on messages ferrying called store-carry-forward paradigm. The messages ferrying can be realized by drones—an autonomous flying robots. For indoor application, drones are equipped with the sensors for distance and obstacle detection. The use of drones can be particularly effective in emergency scenarios where the human-rescuers’ activity is impossible due to hard unhealthy conditions. Our solution was tested in indoor scenario. The test results demonstrate good performance of our solution.
Author Radosław Olgierd Schoeneich (FEIT / IT)
Radosław Olgierd Schoeneich,,
- The Institute of Telecommunications
, Marcin Golański (FEIT / IT)
Marcin Golański,,
- The Institute of Telecommunications
, Bartosz Krok
Bartosz Krok,,
, Paweł Czermiński
Paweł Czermiński,,
Journal seriesInternational Journal of Distributed Sensor Networks, ISSN 1550-1329
Issue year2016
Publication size in sheets0.5
Keywords in EnglishDelay tolerant networks, disruptive networks, message ferrying, autonomous, flying drones
ASJC Classification1705 Computer Networks and Communications; 2200 General Engineering
ProjectThe Develpment of Digital Communicatios. Project leader: Siuzdak Jerzy, , Phone: +48 22 234-7868, start date 27-04-2015, end date 31-12-2016, IT/2015/statut, Completed
WEiTI Działalność statutowa
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa (CC-BY); after publication
2016 Schoeneich Golanski Autonomous drone.pdf 1.41 MB
Score (nominal)20
Score sourcejournalList
ScoreMinisterial score = 20.0, 16-10-2020, ArticleFromJournal
Ministerial score (2013-2016) = 20.0, 16-10-2020, ArticleFromJournal
Publication indicators WoS Citations = 1; Scopus Citations = 2; GS Citations = 4.0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.731; WoS Impact Factor: 2015 = 0.906 (2) - 2015=0.919 (5)
Citation count*4 (2020-12-31)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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