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SocialDTN: a DTN Implementation for Digital and Social Inclusion


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SocialDTN is also part of the DTN-Amazon project fruit of a partnership between SITILabs and GERCOM/UFPA. This presentation introduces this DTN implementation for digital and social inclusion.

This presentation was given on my behalf by Dr. Cerqueira in the ACM MobiCom Workshop on Lowest Cost Denominator Networking for Universal Access (LCDNet 2013), on September 30th, 2013 in Miami, USA.

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SocialDTN: a DTN Implementation for Digital and Social Inclusion

  1. 1. SocialDTN: a DTN Implementation for Digital and Social Inclusion Waldir Moreira, Ronedo Ferreira, Douglas Cirqueira, Paulo Mendes and Eduardo Cerqueira September 30th, 2013 ACM MobiCom Workshop on Lowest Cost Denominator Networking for Universal Access (LCDNet 2013) Miami, USA
  2. 2. Agenda • Introduction • Goal • Scenario • Existing Implementations • SocialDTN Architecture • First Experiments • Future Steps
  3. 3. Introduction • Nowadays, people still suffer with digital divide and social exclusion • Delay/Disruption-Tolerant Networking can mitigate such effects by means of opportunistic and asynchronous communication • SocialDTN, an Android implementation of the DTN architecture
  4. 4. Goal • Mitigate the effects of digital divide and social exclusion in the riverside communities
  5. 5. Scenario • Characteristics – Mobile nodes – Disruptive and intermittent links – Low node density • Requirements – Exploit social proximity and interactions between users through Bluetooth – Be independent of any network infrastructure
  6. 6. Existing Implementations • DTN2, IBR-DTN, and Bytewalla • Not suitable in our target scenario as they somewhat use infrastructure
  7. 7. SocialDTN Architecture • Base and Android Libraries
  8. 8. SocialDTN Architecture • Base Library – Core functionalities • Bundle Protocol Agent • Convergence Layer • Bundle Router – Routing functionalities • Direct delivery and social-based dLife • Android Library – Bluetooth Convergence Layer – Discovery Manager
  9. 9. First Experiments • Deployment test with Android devices carried by seven students • A traffic generator (load of 6 messages/hour) • Message size varied between 1 KB and 1 MB representing different applications and data types (e.g., asynchronous chats, email, video sharing) • Objectives: – Evaluate the BCL implementation – Check the implementation of dLife
  10. 10. First Experiments • SocialDTN v1.0 used to disseminate educational information through health agents in the riverside community of Combu Island • Agent obtains information while visiting the Bettina Ferro hospital in the UFPA campus • Received information increases the efficiency of the agent actions as the population is illiterate
  11. 11. Future Steps • Move towards the SocialDTN v2.0, which shall include the social-based dLife as routing scheme • Expand the experimentations to the target communities • Release the collected social traces to the scientific community
  12. 12. Acknowledgements • Thanks are due to: – to Dórian Langbeck for his co-authorship on this paper and implementation contributions, – to the National Council for Scientific and Technological Development (CNPq), – to the Amazon Research Foundation (FAPESPA), and – to FCT for financial support of the User-Centric Routing project (PTDC/EEA-TEL/103637/2008) and the PhD grant (SFRH/BD/62761/2009) of Waldir Moreira
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