Content Distribution in Mobile Peer-to-Peer Networks

Project description

In this project, we focus on a framework to characterize and leverage people movement for improvements of content distribution in mobile Peer-to-Peer (P2P) networks. Particularly, we study two typical classes of people movement including the Schelling behavior and repetitive behavior. The Schelling behavior exists in real-world scenarios where co-located people collaboratively share mutual content interest when they are moving towards the same Point of Interest such as shopping mall, football stadium, and outdoor concert. Meanwhile, the repetitive behavior of people movement can be found in numerous places where people visit regular locations and make regular social contacts for their daily routines such as university campuses and work places.

For the first part of the project, we study the original segregation model proposed by Thomas Schelling, a Nobel prize winner in economics. We find that the properties of the segregation model exist in numerous real-world scenarios, in which the co-located people may form groups and collaboratively share data messages using their wireless devices when they are moving towards the same Point of Interest. We then conduct a validation study on these properties of by: (1) simulating people movement on real Google maps, and (2) modeling people movement in different street configurations by using the Mobius modeling tool. Then, we exploit these properties to design three protocols to improve content distribution in mobile P2P networks.

For the second part of the project, we exploit the repetitive behavior of people movement for the design of content distribution protocols. Particularly, we propose a new methodology to collect people movement trace using mobile phones. We then apply this method to implement a trace collection system named UIM, which collects MAC addresses of Wifi access points and Bluetooth-enabled devices in the proximity of the experiment phones. The UIM system is deployed on Google Android phones carried by 123 faculties, staff, and students in University of Illinois campus from March 2010 to August 2010. In this project we focus on data dissemination in wireless ad hoc network. In particular, we leverage time-based database and store-carry-forward paradigm to design, manage, and optimize light-weight database and peer-to-peer overlay.


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