AP and MN-centric mobility prediction: a comparative study based on wireless traces

Authors:
Jean-Marc François;Guy Leduc
Affiliations:
Research Unit in Networking, Department of Electrical Engineering and Computer Science, Institut Montefiore, University of Liège, Liège, Belgium;Research Unit in Networking, Department of Electrical Engineering and Computer Science, Institut Montefiore, University of Liège, Liège, Belgium
Venue:
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
Year:
2007

Citing 8
Cited 4

Predictive and adaptive bandwidth reservation for hand-offs in QoS-sensitive cellular networks

Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
LeZi-update: an information-theoretic approach to track mobile users in PCS networks

MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Analysis of a campus-wide wireless network

Proceedings of the 8th annual international conference on Mobile computing and networking
Mobility-based predictive call admission control and bandwidth reservation in wireless cellular networks

Computer Networks: The International Journal of Computer and Telecommunications Networking
A Mobility Prediction Architecture Based on Contextual Knowledge and Spatial Conceptual Maps

IEEE Transactions on Mobile Computing
Clustering and prediction of mobile user routes from cellular data

PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Using path prediction to improve TCP performance in wireless/mobile communications

IEEE Communications Magazine
Exploiting user profiles to support differentiated services in next-generation wireless networks

IEEE Network: The Magazine of Global Internetworking

Otiy: locators tracking nodes

CoNEXT '07 Proceedings of the 2007 ACM CoNEXT conference
A comprehensive mobility management solution for handling peak load in cellular network scenarios

Proceedings of the 6th ACM international symposium on Mobility management and wireless access
A generic framework for mobility prediction and resource utilization in wireless networks

COMSNETS'10 Proceedings of the 2nd international conference on COMmunication systems and NETworks
Movement prediction in wireless networks using mobility traces

CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

The mobility prediction problem is defined as guessing a mobile node's next access point as it moves through a wireless network. Those predictions help take proactive measures in order to guarantee a given quality of service. Prediction agents can be divided into two main categories: agents related to a specific terminal (responsible for anticipating its own movements) and those related to an access point (which predict the next access point of all the mobiles connected through it). This paper aims at comparing those two schemes using real traces of a large WiFi network. Several observations are made, such as the difficulties encountered to get a reliable trace of mobiles motion, the unexpectedly small difference between both methods in terms of accuracy, and the inadequacy of commonly admitted hypotheses (such as the different motion behaviours between the week-end and the rest of the week).