Baumgärtner, Lars ; Kohlbrecher, Stefan ; Euler, Juliane ; Ritter, Tobias ; Stute, Milan ; Meurisch, Christian ; Mühlhäuser, Max ; Hollick, Matthias ; Stryk, Oskar von ; Freisleben, Bernd (2017)
Emergency Communication in Challenged Environments via Unmanned Ground and Aerial Vehicles.
2017 IEEE Global Humanitarian Technology Conference. San Jose, CA, USA (19.10.2017-22.10.2017)
doi: 10.25534/tuprints-00013328
Konferenzveröffentlichung, Zweitveröffentlichung, Postprint
 | Es ist eine neuere Version dieses Eintrags verfügbar. |
Kurzbeschreibung (Abstract)
Unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) are promising assets to support rescue operations in natural or man-made disasters. Most UGVs and UAVs deployed in the field today depend on human operators and reliable network connections to the vehicles. However, network connections in challenged environments are often lost, thus control can no longer be exercised. In this paper, we present a novel approach to emergency communication where semi-autonomous UGVs and UAVs cooperate with humans to dynamically form communication islands and establish communication bridges between these islands. Humans typically form an island with their mobile devices if they are in physical proximity; UGVs and UAVs extend an island's range by carrying data to a neighboring island. The proposed approach uses delay/disruption-tolerant networking for non-time critical tasks and direct mesh connections for prioritized tasks that require real-time feedback. The developed communication platform runs on rescue robots, commodity mobile devices, and various drones, and supports our operations and control center software for disaster management.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Baumgärtner, Lars ; Kohlbrecher, Stefan ; Euler, Juliane ; Ritter, Tobias ; Stute, Milan ; Meurisch, Christian ; Mühlhäuser, Max ; Hollick, Matthias ; Stryk, Oskar von ; Freisleben, Bernd |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | Emergency Communication in Challenged Environments via Unmanned Ground and Aerial Vehicles |
| Sprache: | Englisch |
| Publikationsjahr: | 25 Dezember 2017 |
| Publikationsdatum der Erstveröffentlichung: | 2017 |
| Verlag: | IEEE |
| Buchtitel: | GHTC 2017: IEEE Global Humanitarian Technology Conference |
| Veranstaltungstitel: | 2017 IEEE Global Humanitarian Technology Conference |
| Veranstaltungsort: | San Jose, CA, USA |
| Veranstaltungsdatum: | 19.10.2017-22.10.2017 |
| DOI: | 10.25534/tuprints-00013328 |
| URL / URN: | https://tuprints.ulb.tu-darmstadt.de/13328 |
| Zugehörige Links: | |
| Herkunft: | Zweitveröffentlichungsservice |
| Kurzbeschreibung (Abstract): | Unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) are promising assets to support rescue operations in natural or man-made disasters. Most UGVs and UAVs deployed in the field today depend on human operators and reliable network connections to the vehicles. However, network connections in challenged environments are often lost, thus control can no longer be exercised. In this paper, we present a novel approach to emergency communication where semi-autonomous UGVs and UAVs cooperate with humans to dynamically form communication islands and establish communication bridges between these islands. Humans typically form an island with their mobile devices if they are in physical proximity; UGVs and UAVs extend an island's range by carrying data to a neighboring island. The proposed approach uses delay/disruption-tolerant networking for non-time critical tasks and direct mesh connections for prioritized tasks that require real-time feedback. The developed communication platform runs on rescue robots, commodity mobile devices, and various drones, and supports our operations and control center software for disaster management. |
| Freie Schlagworte: | autonomous aerial vehicles, control engineering computing, disasters, emergency management, mobile communication, multi-robot systems, path planning, remotely operated vehicles, rescue robots, telerobotics, emergency communication, challenged environments, unmanned ground vehicles, unmanned aerial vehicles, UAVs, rescue operations, human operators, reliable network connections, semiautonomous UGVs, communication islands, communication bridges, neighboring island, nontime critical tasks, direct mesh connections, developed communication platform, rescue robots, commodity mobile devices, natural disasters, man-made disasters, delay-disruption-tolerant networking, Robot sensing systems, Bridges, Mobile communication, Unmanned aerial vehicles, Real-time systems |
| Status: | Postprint |
| URN: | urn:nbn:de:tuda-tuprints-133282 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Simulation, Systemoptimierung und Robotik 20 Fachbereich Informatik > Sichere Mobile Netze 20 Fachbereich Informatik > Telekooperation DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche LOEWE LOEWE > LOEWE-Schwerpunkte LOEWE > LOEWE-Schwerpunkte > NICER – Vernetzte infrastrukturlose Kooperation zur Krisenbewältigung DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > A: Konstruktionsmethodik DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > A: Konstruktionsmethodik > Teilprojekt A3: Migration |
| Hinterlegungsdatum: | 30 Nov 2020 12:56 |
| Letzte Änderung: | 31 Aug 2022 08:32 |
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- Emergency Communication in Challenged Environments via Unmanned Ground and Aerial Vehicles. (deposited 30 Nov 2020 12:56) [Gegenwärtig angezeigt]
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