Rethinking Realistic Wireless Network Mobility: Model and Trust

Rethinking Realistic Wireless Network Mobility: Model and Trust

Lu Yan (University of Hertfordshire, UK)
Copyright: © 2012 |Pages: 12
DOI: 10.4018/978-1-61350-101-6.ch705

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 chapter, the author discusses his proposal for a more realistic mobility model which captures key features of human movements in pervasive markets. His findings lead to a non-traditional mobility model which can be used to reconstruct the statistical patterns commonly observed in the literature, and facilitate the study of mobile communication and software engineering design problems under the context of pervasive computing for markets.
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Data Collection

Camden market was chosen for collecting user mobility traces. Camden market is a large craft and clothing market in Camden town and the fourth most popular visitor attraction in London, attracting approximately 100,000 people each weekend (Wikipedia, n.d.). HP GPS rx5730 handheld receiver is used for data collection, with a position accuracy of better than 3 meters most of the time. Users were supposed to keep the GPS receiver with them for as much of their visiting time as possible, with most carrying the GPS receiver in pockets. Occasionally, tracking information has discontinuity mainly when users move inside the indoor part of Camden market where GPS signals cannot be received.

The GPS receiver takes reading of the user’s position every second and records it into a trace log. The trace log contains at least the following data:

Latitude;Longitude;Altitude;Speed;Date;Heading(1)

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