- Titel
- Adaptive Routing in Disruption Tolerant Networks
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-721937
- Konferenz
- 20th IEEE International Symposium on 'A World of Wireless, Mobile and Multimedia Networks', WoWMoM 2019. Washington, DC, USA, 10-12 June 2019
- Quellenangabe
- IEEE International Symposium on World of Wireless Mobile and Multimedia Networks (WoWMoM)
Verlag: Institute of Electrical and Electronics Engineers incorporated (IEEE)
ISBN: 978-1-7281-0271-9 - Erstveröffentlichung
- 2019
- Abstract (EN)
- Routing in Disruption-Tolerant Networks has been researched for over 15 years. Several proposed algorithms exploit the predictive behavior of mobile devices in order to maximize a desired metric (e.g., delivery probability) and minimize waste of resources. However, even devices that follow a highly predictive mobility model might have its behavior temporarily altered due to external events such as accidents, natural conditions, mechanical failures, etc. Some routing approaches for predictive networks are not able to make use of the available knowledge to support the routing decision. Others are not able to adapt under context change. In this work, we present the initial phase of our research and the necessary steps towards an adaptive DTN protocol for challenging networks that is able to exploit available knowledge and adapt under context changes.
- Andere Ausgabe
- Link zum Artikel, der zuerst in der IEEE Xplore Digital Library erschienen ist
DOI: 10.1109/WoWMoM.2019.8792984 - Freie Schlagwörter (DE)
- Störungstolerante Netzwerke, selbstanpassende Systeme, Routing
- Freie Schlagwörter (EN)
- Disruption-tolerant networks, self-adaptive systems, routing
- Klassifikation (DDC)
- 004
- Verlag
- Institute of Electrical and Electronics Engineers (IEEE), New York, NY
- Förder- / Projektangaben
- Deutsche Forschungsgemeinschaft (DFG)
RoSI – Role-based Software Infrastructures for continuous-context-sensitive Systems
(RoSI) - Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-721937
- Veröffentlichungsdatum Qucosa
- 11.11.2021
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0- Inhaltsverzeichnis
I. Introduction II. Challenging Networks III. Challenges Towards an Adaptive Framework IV. Framework Design and Implementation V. Conclusion