Understanding Network Mobility in Pervasive Markets: Realistic Human Shopping Behavioral Model

Authors:
Lu Yan
Affiliations:
School of Computer Science, University of Hertfordshire, Hertfordshire, UK AL10 9AB
Venue:
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Year:
2008

Citing 3
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Abstract

With recent advances of wireless ad hoc networking, especially opportunistic forwarding and cognitive radio, there is an increasing concern that existing mobility models are insufficient to represent network mobility in real world settings. In this paper, we discuss our proposal for a more realistic mobility model which captures key features of human movements in pervasive markets. Our findings lead to a non-traditional mobility model which can be used to reconstruct the statistical patterns of realistic human shopping behaviors. We believe this model is ground-breaking, since no similar model exists in the literature, to the best of our knowledge.