Wei-jen Hsu
Ahmed Helmy
Abstract
In this paper we propose a new communication paradigm called profile-casting where destination nodes are identified by their (inferred) properties, not by node IDs. As an example case study, we use the mobility profile to show a design of profile-casting protocol based on the similarity in user mobility processes. The similarity-based protocol has good potential in both overhead reduction and delivery ratio improvement compared with simple message delivery protocols, such as flooding or random transmission. It is also flexible to operate at various points of the overhead-performance tradeoff.
- W. Hsu, D. Dutta, and A. Helmy, "Extended Abstract: Mining Behavioral Groups in Large Wireless LANs" In Proceedings of ACM MOBICOM, Sep. 2007. Longer technical report available at http://arxiv.org/abs/cs/0606002 Google Scholar
Digital Library
- K. Fall, "A Delay-Tolerant Network Architecture for Challenged Internets," In Proceedings of ACM SIGCOMM, August 2003. Google ScholarDigital Library
- J. Leguay, T. Friedman, and V. Conan, "Evaluating Mobility Pattern Space Routing for DTNs," in Proceedings of IEEE INFOCOM, April, 2006.Google Scholar
- A. Vahdat and D. Becker, "Epidemic Routing for Partially Connected Ad Hoc Networks," Technical Report CS-200006, Duke University, April 2000.Google Scholar
- W. Hsu and A. Helmy, MobiLib USC WLAN trace data set. Downloaded from http://nile.cise.ufl.edu/MobiLib/USC_trace/Google Scholar
- D. Kotz, T. Henderson and I. Abyzov, CRAWDAD data set dartmouth/campus/movement/01_04 (v. 2005-03-08). Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/campus/movement/01_04Google Scholar
Index Terms
- Profile-cast: behavior-aware mobile networking
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