Delay-Tolerant Networking Paradigm and the Ongoing Research Activities

776 views

Published on

Presentation on Delay-Tolerant Networking Paradigm, the ONE simulation platform and the Ongoing Research Activities by Michael Desta

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
776
On SlideShare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
31
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Delay-Tolerant Networking Paradigm and the Ongoing Research Activities

  1. 1. Delay Tolerant Networking paradigm and ongoing Research Activities Michael Solomon Desta Protocols and Services Research Group, Comnet Aalto University, School of Electrical Engineering michael.desta@aalto.fi August 21, 2013
  2. 2. Michael S. Desta August 21, 2013 2/21 Outline The Research Group for Protocols, Services, and Software On-going Research Activities Courses offered The DTN Paradigm Introduction and demonstration of the Opportunistic Network Environment Simulator (the ONE)
  3. 3. Michael S. Desta August 21, 2013 3/21 Protocols, Services, and Software Reseearch Group Led by Prof. Jörg Ott Co-chair, DTNRG of IRTF http://www.netlab.tkk.fi/ jo/ 3 Senior Scientistis and Post-docs ∼ 10 Doctoral Candidates ∼ 8 Msc Students and Research Assistants
  4. 4. Michael S. Desta August 21, 2013 4/21 Research Areas & on-going activities Delay/Disruption Tolerant Networking Drive-thru Internet, Sami Network SCAMPI, IoT SHOK Mobile Opportunistic Networking and Computing the ONE, floating-content PDP, RESMAN Adaptive Multimedia Communication real time transport protocols Leone, PURSUIT Measurments content characteristics and user behavior Leone
  5. 5. Michael S. Desta August 21, 2013 5/21 Courses S-38.3159 Protocol Design S-38.3455 Postgraduate seminar on Challenged Networks S-38.3152 Networked MultiMedia Protocols and Services (NMPS) S-38.3151 Delay Tolerant Networking (DTN) Guerilla routers @ Aalto Design Factory, Autumn 2012
  6. 6. Michael S. Desta August 21, 2013 6/21 Some Random Notes on Our Courses Critically Evaluating Recently published papers Writting IEEE-style papers on selected topics Reproducing published results http://www.bbc.co.uk/news/magazine-22223190 Academic TypeSetting - LATEX
  7. 7. Michael S. Desta August 21, 2013 7/21 DTN - A Brief Introduction Delay/Disruption Tolerant Networking A networking effort used to address connectivity problems by providing inter-operable communications among highly hetrogeneous networks that lack end-to-end connectivity. ... and yet another definition Networking in challenged environments where traditional protocols break down due to extreme delays and disruptions
  8. 8. Michael S. Desta August 21, 2013 8/21 Motivation - The Classical Internet Model Military Network - Survivability Hide transient failures - Only complete partitions Non-permanent connectivity Mobility Lack of Infrastructure - Ad-hoc communications
  9. 9. Michael S. Desta August 21, 2013 9/21 Challenges Low bandwidth High non-congestion errors (and packet losses) Fate Sharing - Reporting failure Packet Switching - Right Abstraction?
  10. 10. Michael S. Desta August 21, 2013 10/21 ... and Solutions? Opportunistic Networking - Just One? Attempt to overcome the shortages of nodes (mobile) in messaging and communication based on spontaneous/opportunistic connectivity between users with wireless devices. Active research area E.g. There is only one book on the topic Stephen Farrell and Vinny Cahill:"Delay- And Disruption Tolerant Networking" Artech House, 2005. ISBN 1-59693-063-2. RFCs, Internet Drafts, Research Papers Most of the work done by simulation
  11. 11. Michael S. Desta August 21, 2013 11/21 Why Simulation? Performance of Opportunistic Networks vary depending how Nodes move - Movement Models their Density capabilities (e.g. radio ranges, storage) Theoretical Modelling - Simplistic Scenarios Real-world testing - feasiblity? Simulations allow algorithms, protocols, and services to be tested under a large variety of different scenarios
  12. 12. Michael S. Desta August 21, 2013 12/21 the ONE? Opportunistic Network Environment Simulator Developed at Aalto-Comnet Cited by 548 - Popular? Released under GPLv3 license Copyrights of the included map data of Helsinki downtown are owned by Maanmittauslaitos Agent-based, discrete event, network simulator emphasis on opportunistic connections mobility modeling and visualization features designed with DTNs in mind useful for any other (opportunistic) environment
  13. 13. Michael S. Desta August 21, 2013 13/21 the ONE? Modules Movement Models Interfaces Routing Models Application Modeling Results and Analysis Visualization Reports Post-processing Written with Java SE 6 Modular plug-in structure New Modules do not necessarily require any modifications Able to interact with other programs import export bindings to DTN reference implementations
  14. 14. Michael S. Desta August 21, 2013 14/21 Built-in Capabilities 1/2 Node characteristics Buffer size Energy consumption Movement modeling Synthetic models (Stationary, RW, RWP, map-constrained random movement, human behavior based movement) Routing Direct Delivery, First Contact, Spray-and-Wait, PRoPHET, MaxProp, Epidemic Interfaces Static and time-varying, multiple interfaces per node
  15. 15. Michael S. Desta August 21, 2013 15/21 Built-in Capabilities 2/2 External Interfaces Import movement, connectivity or routing traces from external sources Export traces for other simulators Reporting Message statistics (delivery probabilities, latencies, etc.) Network statistics (inter-encounter times, contact durations, etc.) Application statistics (per-application reporting) Visualization GUI with a filtered log, message and node paths Post-processing tools Two different simulation modes GUI mode batch mode - also “run indexing”
  16. 16. Michael S. Desta August 21, 2013 16/21 the ONE in Action Scenario parameters Movement model Number of nodes Node characteristics (buffer size, radio range, etc.) Simulation period, time steps Infinite number of possible combinations of simulation parameters a subset that makes sense Two basic approaches - Keep it Simple Vs Increasing Reality All settings are key-value pairs
  17. 17. Michael S. Desta August 21, 2013 17/21 example Config. file
  18. 18. Michael S. Desta August 21, 2013 18/21 Starting the ONE In command line prompt ./one.sh configuration_file_name.txt for Microsoft Windows, use one.bat Example ./one.sh epidemic_settings.txt For batch mode, use “-b” and define number of runs ./one.sh -b epidemic_settings.txt 11
  19. 19. Michael S. Desta August 21, 2013 19/21 Acknowledgments The ONE simulator has been developed in the SINDTN and CATDTN projects supported by Nokia Research Center (Finland) TEKES ICT-SHOK Future Internet project Academy of Finland projects RESMAN and Picking Digital Pockets (PDP) ... and supported by EIT ICT Labs.
  20. 20. Michael S. Desta August 21, 2013 20/21 More Information Homepage: http://www.netlab.tkk.fi/tutkimus/dtn/theone/ Javadoc documentation of the code: http://www.netlab.tkk.fi/tutkimus/dtn/theone/javadocv 12/ Generic info: README.txt (in the distribution package) the ONE Developers Community: https://www.netlab.tkk.fi/mailman/listinfo/theone
  21. 21. Michael S. Desta August 21, 2013 21/21 Thank You!

×