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PeopleNET -- Socially Aware Routing and Experimental Opportunistic Platform

 

DESCRIPTION:

PeopleNET aims at leveraging human mobility and contact opportunities to provide a flexible support to extemporaneous and location-aware people-to-people and people-to-things interactions. Opportunistic Switched Networks (OSNs) are the main focus of the proposal and are considered as a component of a wider networked scenario characterized by increasing heterogeneity of end-points (devices, people, things) and networks (Internet, MANETS, DTN). In PeopleNET the University of Milano, UniMI, will contribute to (1) the analysis and modelling of human mobility, (2) the design of the forwarding algorithms, and (3) the experimentation of an Android-based opportunistic platform in workplace. In such a opportunistic scenario, consensus exists on the fact that human mobility reflects the human attitude to spontaneously and temporary aggregate and socialize into both stable and extemporaneous communities to share common services/content with some spatial or functional locality. The activity of UniMI will start from this research framework and attempt to achieve original contributions as the consequence of the following intuitions: I. Forwarding decisions are likely to benefit of combining social behavior with more stable on-line relationships, i.e. those that people maintain in either their private (e.g., social network communities) or working (e.g., first ranked e-mail destinations) life. II. The scheduled mobility of public transportation systems can profitably contribute to offer urban-wide connectivity for transporting a large class of data between remote places. III. Workplaces are the social environment where human relationships are easy to verify, almost stable and where mobility is often repetitive. It represents a good context where collect contact traces and experiment the Android-based opportunistic platform. Nevertheless, it also represents a hostile context for opportunistic networks (densely populated of both people and technology). Contrasting hints that however create a challenging mix to understand the real potential of OSN technology.

CONTACT ANALYSIS AND MOBILITY MODELS

Most part of the PeopleNET activity follows this basic phase of data gathering and analysis. UniMI will be active in tracing contacts in workplaces and contribute with other URs to analyze human mobility on both small and large scale. Small scale analysis aims to characterize and estimate the influence of social relationships, communities and locality on contacts. This is beneficial to design forwarding policies inside localized communities, such as workplaces or public aggregation places (intra-community analysis). Large scale analysis is helpful to investigate and model the quasi-deterministic mobility of commuters that use the public transportation system. This is beneficial to characterize human mobility between two remote aggregation places (inter-community analysis). As a further outcome of this activity, a thorough definition of the notion of community within an opportunistic scenario is expected to emerge.

FORWARDING ALGORITHMS

UniMI will be active in the design of novel forwarding algorithms that perform forwarding decisions through an autonomic process that extracts the people social attitude from contacts and detects communities while moving. This will lead to a new generation of algorithms that account both for context and community-specific information and leverage the on-board geo-located information to steer the message forwarding. UniMI will focus on both unicast and multicast communications over OSNs. The latter paradigm requires a thorough analysis of the multicast semantics before initiating the phase of protocol design. UniMI is finally interested to the quasi-deterministic mobility scenario offered by the public transportation system. In this direction, the challenge is the design of line-to-line and bus-to-bus routing protocols able to provide a path with minimal QoS guarantees between remote places of a city. All algorithms will be designed to improve the forwarding performances in terms of reduced delivery latency and resource consumption, and maximized delivery likelihood.

EXPERIMENTATION

UniMI will be active in the design and deployement of an opportunistic test bed. The experimentation will take place in workplace and will be deployed on a set of Android smart phones. UniMI will operate inside the PeopleNET developing team. All activities start from an opportunistic platform prototype available in the Lab.

 

Supported by:

The project is funded by the Italian Ministry for Instruction, University and Research (MIUR) under Protocol N. 2009BZM837, from October 17, 2011 to October 17, 2013.

 

Partner Universities:

 

Deliverables: (available under "Publications")

  • Elena Pagani, Gian Paolo Rossi, ``Content Dissemination on Location-based Communities: a Comparative Analysis''.  In Proc. 6th International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications (MobilWare 2013), Bologna (Italy), Nov. 11-12, 2013.
  • Elena Pagani, Gian Paolo Rossi, ``Interest-driven Forwarding for Delay-tolerant Mobile Ad Hoc Networks''. In Proc. 9th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC 2013), Cagliari (Italy), July 1-4, 2013.
  • Lorenzo Valerio, Marco Conti, Elena Pagani, Andrea Passarella, ``Autonomic Cognitive-based Data Dissemination in Opportunistic Networks''. In Proc. 14th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2013), Madrid (Spain), June 4-7, 2013.
  • Elena Pagani, Gian Paolo Rossi. ``Context Sensing for Autonomic Forwarding in Opportunistic Networks''. In Proc. 8th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Oct. 2012, pp. 324-331.
  • Elena Pagani, Gian Paolo Rossi. ``Utility-based Forwarding: a Comparison in Different Mobility Scenarios''. In Proc. Third International ACM Workshop on Mobile Opportunistic Networks (MobiOpp), March 2012, pp. 29-36.
  • Sabrina Gaito, Elena Pagani, Gian Paolo Rossi, Matteo Zignani. ``Sensing Multi-dimensional Human Behavior in Opportunistic Networks''. In Proc. Third International ACM Workshop on Mobile Opportunistic Networks (MobiOpp) - Poster Session, March 2012, pp. 89-90.

 

Meetings:

  • Bootstrap meeting: January 11-13 2012, in the framework of the 9th Italian Networking Workshop
  • mid-term meeting: January 8-11 2013, in the framework of the 10th Italian Networking Workshop
  • next meeting: June 24-26 2013, in the framework of the annual GTTI meeting



Last Updated on Thursday, 17 October 2013 10:21