NDLI: Time Critical Content Delivery Using Predictable Patterns in Mobile Social Networks

Content Provider	IEEE Xplore Digital Library
Author	Nazir, F. Ma, J. Seneviratne, A.
Copyright Year	2009
Abstract	In Mobile Social Networks (MSN) individuals with similar interests or commonalities connect to each other using the mobile phones. MSN are special kind of Ad-hoc Networks in which wireless connectivity (i.e. encounters and re-encounters) with social peers is predictable. Most of the recent research proposes routing framework to exploit these predictable patterns to identify the best information carriers. The best information carriers are selected based on the high probability of encounter with potential information recipients. In these approaches an important variable is ignored i.e. time of encounter. Considering encounter time in the protocol gives time assurance of message delivery for time critical application. Therefore in this paper we address the research question, how to exploit people's predictable social patterns to improve the content delivery performance and lower end-to-end delay in time critical applications? Our assumption is that the people follow similar mobility patterns daily (i.e. Monday to Friday). In this paper we verify our research question and assumption using real trace data of 100 users carrying Nokia 6600 smart phones over the course of nine months. Furthermore we model, analyze and propose algorithms for social encounter based content delivery system for time critical applications. The simple heuristics and initial study presented in this paper achieve a timely content delivery using predictable patterns while lowering system wide traffic flooding.
Starting Page	1066
Ending Page	1073
File Size	620737
Page Count	8
File Format	PDF
ISBN	9781424453344
DOI	10.1109/CSE.2009.347
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Content Delivery Protocols Mobile Social Networks Social network services Mobile communication Routing Mobile handsets Data mining Network Analysis Mobile computing
Content Type	Text
Resource Type	Article

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