On Message Fragmentation, Coding and Social Networking in Intermittently Connected Networks

An intermittently connected network (ICN) is defined as a mobile network that uses cooperation between nodes to facilitate communication. This cooperation consists of nodes carrying messages from other nodes to help deliver them to their destinations. An ICN does not require an infrastructure and routing information is not retained by the nodes. While this may be a useful environment for message dissemination, it creates routing challenges. In particular, providing satisfactory delivery performance while keeping the overhead low is difficult with no network infrastructure or routing information. This dissertation explores solutions that lead to a high delivery probability while maintaining a low overhead ratio. The efficiency of message fragmentation in ICNs is first examined. Next, the performance of the routing is investigated when erasure coding and network coding are employed in ICNs. Finally, the use of social networking in ICNs to achieve high routing performance is considered. The aim of this work is to improve the better delivery probability while maintaining a low overhead ratio. Message fragmentation is shown to improve the CDF of the message delivery probability compared to existing methods. The use of erasure coding in an ICN further improve this CDF. Finally, the use of network coding was examined. The advantage of network coding over message replication is quantified

[1]  Zygmunt J. Haas,et al.  A new networking model for biological applications of ad hoc sensor networks , 2006, TNET.

[2]  Ger Koole,et al.  The message delay in mobile ad hoc networks , 2005, Perform. Evaluation.

[3]  Jörg Ott,et al.  The ONE simulator for DTN protocol evaluation , 2009, SIMUTools 2009.

[4]  Jörg Widmer,et al.  Network coding for efficient communication in extreme networks , 2005, WDTN '05.

[5]  Amin Vahdat,et al.  Epidemic Routing for Partially-Connected Ad Hoc Networks , 2009 .

[6]  Edmund M. Yeh,et al.  Distributed Algorithms for Minimum Cost Multicast with Network Coding in Wireless Networks , 2006 .

[7]  Jörg Ott,et al.  Message Fragmentation in Disruptive Networks , 2009 .

[8]  Rudolf Ahlswede,et al.  Network information flow , 2000, IEEE Trans. Inf. Theory.

[9]  Jörg Ott,et al.  Working day movement model , 2008, MobilityModels '08.

[10]  Boleslaw K. Szymanski,et al.  Cost Efficient Erasure Coding Based Routing in Delay Tolerant Networks , 2010, 2010 IEEE International Conference on Communications.

[11]  John Kubiatowicz,et al.  Erasure Coding Vs. Replication: A Quantitative Comparison , 2002, IPTPS.

[12]  Jörg Ott,et al.  Message fragmentation in opportunistic DTNs , 2008, 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[13]  Pan Hui,et al.  How Small Labels Create Big Improvements , 2006, Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07).

[14]  Pan Hui,et al.  BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks , 2008, IEEE Transactions on Mobile Computing.

[15]  G. Neglia,et al.  On the Benefits of Random Linear Coding for Unicast Applications in Disruption Tolerant Networks , 2006, 2006 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks.

[16]  Baochun Li,et al.  Stochastic analysis of network coding in epidemic routing , 2008, IEEE Journal on Selected Areas in Communications.

[17]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[18]  Donald F. Towsley,et al.  Performance Modeling of Epidemic Routing , 2006, Networking.

[19]  Margaret Martonosi,et al.  Erasure-coding based routing for opportunistic networks , 2005, WDTN '05.

[20]  Salil S. Kanhere,et al.  HUBCODE: hub-based forwarding using network coding in delay tolerant networks , 2013, Wirel. Commun. Mob. Comput..

[21]  Norman T. J. Bailey,et al.  The Mathematical Theory of Infectious Diseases , 1975 .

[22]  Anders Lindgren,et al.  Probabilistic Routing in Intermittently Connected Networks , 2004, SAPIR.

[23]  Boleslaw K. Szymanski,et al.  Impact of Social Networks on Delay Tolerant Routing , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[24]  Sudipta Sengupta,et al.  Network Coding-Aware Routing in Wireless Networks , 2010, IEEE/ACM Transactions on Networking.

[25]  Donald F. Towsley,et al.  On the performance of Internet worm scanning strategies , 2006, Perform. Evaluation.

[26]  Cauligi S. Raghavendra,et al.  Spray and wait: an efficient routing scheme for intermittently connected mobile networks , 2005, WDTN '05.

[27]  Cecilia Mascolo,et al.  Socially-aware routing for publish-subscribe in delay-tolerant mobile ad hoc networks , 2008, IEEE Journal on Selected Areas in Communications.

[28]  Mads Haahr,et al.  Social network analysis for routing in disconnected delay-tolerant MANETs , 2007, MobiHoc '07.

[29]  Muriel Médard,et al.  XORs in the Air: Practical Wireless Network Coding , 2006, IEEE/ACM Transactions on Networking.

[30]  Lixin Gao,et al.  Estimation based erasure-coding routing in delay tolerant networks , 2006, IWCMC '06.

[31]  Baochun Li,et al.  How Practical is Network Coding? , 2006, 200614th IEEE International Workshop on Quality of Service.