Bubble Rap: Forwarding in small world DTNs in ever decreasing circles

In this paper we seek to improve understanding of the structure of human mobility, and to use this in the design of forwarding algorithms for Delay Tolerant Networks for the dissemination of data amongst mobile users. Cooperation binds but also divides human society into communities. Members of the same community interact with each other preferentially. There is structure in human society. Within society and its communities, individuals have varying popularity. Some people are more popular and interact with more people than others; we may call them hubs. Popularity ranking is one facet of the population. In many physical networks, some nodes are more highly connected to each other than to the rest of the network. The set of such nodes are usually called clusters, communities, cohesive groups or modules. There is structure to social networking. Different metrics can be used such as information flow, Freeman betweenness, closeness and inference power, but for all of them, each node in the network can be assigned a global centrality value. What can be inferred about individual popularity, and the structure of human society from measurements within a network? How can the local and global characteristics of the network be used practically for information dissemination? We present and evaluate a sequence of designs for forwarding algorithms for Pocket Switched Networks, culminating in Bubble, which exploit increasing levels of information about mobility and interaction.

[1]  Peter R. Winters,et al.  Forecasting Sales by Exponentially Weighted Moving Averages , 1960 .

[2]  Gerard Salton,et al.  Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer , 1989 .

[3]  J. Hopfield,et al.  From molecular to modular cell biology , 1999, Nature.

[4]  Amit Kumar,et al.  Connectivity and inference problems for temporal networks , 2000, STOC '00.

[5]  Lada A. Adamic,et al.  Search in Power-Law Networks , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Jon M. Kleinberg,et al.  Spatial gossip and resource location protocols , 2001, JACM.

[7]  D. Watts,et al.  Small Worlds: The Dynamics of Networks between Order and Randomness , 2001 .

[8]  David Tse,et al.  Mobility increases the capacity of ad hoc wireless networks , 2002, TNET.

[9]  Hierarchical Organization of Modularity in Metabolic Networks Supporting Online Material , 2002 .

[10]  C. Lee Giles,et al.  Self-Organization and Identification of Web Communities , 2002, Computer.

[11]  A. Barabasi,et al.  Hierarchical Organization of Modularity in Metabolic Networks , 2002, Science.

[12]  Jie Wu,et al.  Small Worlds: The Dynamics of Networks between Order and Randomness , 2003 .

[13]  Gary William Flake,et al.  Self-organization of the web and identification of communities , 2002 .

[14]  Anders Lindgren,et al.  Probabilistic routing in intermittently connected networks , 2003, MOCO.

[15]  Kevin R. Fall,et al.  A delay-tolerant network architecture for challenged internets , 2003, SIGCOMM '03.

[16]  P. Oscar Boykin,et al.  Scalable Percolation Search in Power Law Networks , 2004, ArXiv.

[17]  M. Newman,et al.  Identifying the role that individual animals play in their social network , 2004, q-bio/0403029.

[18]  Vwani P. Roychowdhury,et al.  Percolation search in power law networks: making unstructured peer-to-peer networks scalable , 2004 .

[19]  Mark Newman,et al.  Detecting community structure in networks , 2004 .

[20]  M E J Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[21]  Eric Paulos,et al.  The familiar stranger: anxiety, comfort, and play in public places , 2004, CHI.

[22]  Sergei Maslov,et al.  Hierarchy measures in complex networks. , 2003, Physical review letters.

[23]  Cecilia Mascolo,et al.  Adaptive routing for intermittently connected mobile ad hoc networks , 2005, Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks.

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

[25]  Pan Hui,et al.  Pocket switched networks and human mobility in conference environments , 2005, WDTN '05.

[26]  S. Okasha.  Altruism, Group Selection and Correlated Interaction , 2005, The British Journal for the Philosophy of Science.

[27]  Alex Pentland,et al.  Reality mining: sensing complex social systems , 2006, Personal and Ubiquitous Computing.

[28]  T. Vicsek,et al.  Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.

[29]  Walter Willinger,et al.  An empirical approach to modeling inter-AS traffic matrices , 2005, IMC '05.

[30]  Leon Danon,et al.  Comparing community structure identification , 2005, cond-mat/0505245.

[31]  Anders Lindgren,et al.  Opportunistic content distribution in an urban setting , 2006, CHANTS '06.

[32]  Pan Hui,et al.  Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[33]  M E J Newman,et al.  Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[34]  Alan M. Frieze,et al.  Random graphs , 2006, SODA '06.

[35]  Timur Friedman,et al.  Evaluating Mobility Pattern Space Routing for DTNs , 2005, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[36]  Walter Willinger,et al.  To Peer or Not to Peer: Modeling the Evolution of the Internet's AS-Level Topology , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

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

[38]  Martin Rosvall,et al.  An information-theoretic framework for resolving community structure in complex networks , 2007, Proceedings of the National Academy of Sciences.

[39]  Eyal de Lara,et al.  Haggle: Clean-slate networking for mobile devices , 2007 .

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