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

TitleBehavior-based mobility prediction for seamless handoffs in mobile wireless networks
Publication TypeJournal Article
Year of Publication2011
AuthorsWanalertlak, W., B. Lee, C. Yu, M. Kim, S. - M. Park, and W. - T. Kim
JournalWireless Networks
Pagination645 - 658
Date Published04/2011

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.

Short TitleWireless Netw