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Wireless Networks
Published in: Wireless Networks 3/2011

01-04-2011

Behavior-based mobility prediction for seamless handoffs in mobile wireless networks

Authors: Weetit Wanalertlak, Ben Lee, Chansu Yu, Myungchul Kim, Seung-Min Park, Won-Tae Kim

Published in: Wireless Networks | Issue 3/2011

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Abstract

The field of wireless networking has received unprecedented attention from the research community during the last decade due to its great potential to create new horizons for communicating beyond the Internet. Wireless LANs (WLANs) based on the IEEE 802.11 standard have become prevalent in public as well as residential areas, and their importance as an enabling technology will continue to grow for future pervasive computing applications. However, as their scale and complexity continue to grow, reducing handoff latency is particularly important. This paper presents the Behavior-based Mobility Prediction scheme to eliminate the scanning overhead incurred in IEEE 802.11 networks. This is achieved by considering not only location information but also group, time-of-day, and duration characteristics of mobile users. This captures short-term and periodic behavior of mobile users to provide accurate next-cell predictions. Our simulation study of a campus network and a municipal wireless network shows that the proposed method improves the next-cell prediction accuracy by 23~43% compared to location-only based schemes and reduces the average handoff delay down to 24~25 ms.
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Metadata
Title
Behavior-based mobility prediction for seamless handoffs in mobile wireless networks
Authors
Weetit Wanalertlak
Ben Lee
Chansu Yu
Myungchul Kim
Seung-Min Park
Won-Tae Kim
Publication date
01-04-2011
Publisher
Springer US
Published in
Wireless Networks / Issue 3/2011
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-010-0303-x

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