GPSDTN: Predictive velocity-enabled delay-tolerant networks for arctic research and sustainabilityIntel Research, Berkeley, USA.
NASA JPL, Pasadena, USA.
NASA JPL, Pasadena, USA.
NASA JPL, Pasadena, USA.
Mitre Corporation, McLean, USA.
NASA Glenn Research Center, Cleveland, USA.
NASA Glenn Research Center, Cleveland, USA.
NASA Glenn Research Center, Cleveland, USA.
SkySentry LLC, Colorado Springs, USA.
SkySentry LLC, Colorado Springs, USA.
University of California, Davis, USA.
Trimble Navigation Limited, Sunnyvale, USA.
Howard University, Washington, USA.
Howard University, Washington, USA.
Barrow Arctic Science Barrow, USA.
Barrow Arctic Science Barrow, USA.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Human Work Science.
Raytheon, Fullerton, USA.
BBN Technologies, Boston, USA.
NASA Kennedy Space Center, Florida, USA.
NAL Research Corporation, Manassas, USA.
University of Alaska at Fairbanks, Fairbanks, USA.
University of Alaska at Fairbanks, Fairbanks, USA.
Institute of the North, Anchorage, USA.
Chartracer, Milton, USA.
University of Ulster, Coleraine, UK.
University of Ulster, Coleraine, UK.
University of Ulster, Coleraine, UK.
University of Ulster, Coleraine, UK.
NASA Dryden Research Center, California, USA .
Woods Hole Oceanographic Inst. Woods Hole, USA .
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2007 (English)In: Second International Conference on Internet Monitoring and Protection (ICIMP 2007): San Jose, California, 1 - 5 July 2007 ; includes: ICGD&BC 2007, SYVUL 2007, SYDIA 2007, CYBER-FRAUD 2007, TRACK 2007 / [ed] Yan Berthier, Los Alamitos, Calif: IEEE Computer Society Press , 2007, article id 4271779Conference paper, Published paper (Refereed)
Abstract [en]
A Delay-Tolerant Network (DTN) is a necessity for communication nodes that may need to wait for long periods to form networks. The IETF Delay Tolerant Network Research Group is developing protocols to enable such networks for a broad variety of Earth and interplanetary applications. The Arctic would benefit from a predictive velocity-enabled version of DTN that would facilitate communications between sparse, ephemeral, often mobile and extremely power-limited nodes. We propose to augment DTN with power-aware, buffer-aware location- and time-based predictive routing for ad-hoc meshes to create networks that are inherently location and time (velocity) aware at the network level to support climate research, emergency services and rural education in the Arctic. On Earth, the primary source of location and universal time information for networks is the Global Positioning System (GPS). We refer to this Arctic velocity-enabled Delay-Tolerant Network protocol as "GPSDTN" accordingly. This paper describes our requirements analysis and general implementation strategy for GPSDTN to support Arctic research and sustainability efforts
Place, publisher, year, edition, pages
Los Alamitos, Calif: IEEE Computer Society Press , 2007. article id 4271779
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Man Machine Relation Focusing Gender
Identifiers
URN: urn:nbn:se:ltu:diva-29364DOI: 10.1109/ICIMP.2007.20Scopus ID: 2-s2.0-35348922809Local ID: 2d116610-cf81-11df-a707-000ea68e967bISBN: 978-0-7695-2911-0 (print)OAI: oai:DiVA.org:ltu-29364DiVA, id: diva2:1002587
Conference
International Conference on Internet Monitoring and Protection : 01/07/2007 - 05/07/2007
Note
Godkänd; 2007; 20101004 (andbra)
2016-09-302016-09-302023-12-11Bibliographically approved