Paper Info
Title
Introducing Geographic Restrictions to the SLAW Human Mobility Model
Abstract
Among other statistical features, the analysis of fine-grained GPS traces from different outdoor scenarios has shown that human mobility statistically resembles L茅vy Walks and led to the design of the Self-similar Least-Action Walk (SLAW) mobility model. It was concluded that human mobility is scale-free and that this feature is invariant irrespective of any geographic constraints. These constraints were considered too scenario-specific and were omitted in SLAW. However, we argue that geographic constraints should not be considered as an unnecessary detail, but as an important feature of a realistic mobility model for the simulative performance evaluation of mobile networks. Therefore, we introduce geographic restrictions to SLAW in the form of maps. Our evaluation of the extended model (called MSLAW) shows that the introduced restrictions have a significant impact on several performance metrics relevant for opportunistic networks.
Year
DOI
Venue
2013
10.1109/MASCOTS.2013.34
MASCOTS
Keywords
Field
DocType
geographic information systems,mobile computing,SLAW human mobility model,fine-grained GPS,geographic restrictions,outdoor scenarios,self-similar least-action walk mobility model,statistical features,Geographic Restrictions,Human Mobility,Mobility Model,Opportunistic Networks
Mobile computing,Geographic information system,Computer science,Mobility model,Global Positioning System,Invariant (mathematics),Distributed computing
Conference
ISSN
Citations 
PageRank 
1526-7539
6
0.41
References 
Authors
15
2
Name
Order
Citations
PageRank
Matthias Schwamborn11999.31
Nils Aschenbruck255556.28