TY - GEN
T1 - Mobility behavior modeling in UCN
AU - Yildiz, Mursel
AU - Khan, Manzoor Ahmed
PY - 2013
Y1 - 2013
N2 - With the advent of revolutionary wireless technologies and equipments, one may expect a great user mobility. In this paper, we study the mobility of users in user centric networking (UCN) environment. We propose the mobility prediction approach by WLAN group formation. We focus on mobility behavior of users and propose the WLAN group prediction approach. We base the proposed approach on the relatively simple parameters and evaluate the performance of our proposed concept by real implementation. Our approach is based on building the history of encountered WLAN groups, modeling an encounter instance of a new group as arrivals for the proposed model and finally adapting the prediction. In the granular level, the arrival rates are estimated using expectation maximization algorithm. We believe that the proposed approach is important for UCN like environments, where information on the hardware or software capabilities, available network resources, instant AP load and etc are not available for the end-user.
AB - With the advent of revolutionary wireless technologies and equipments, one may expect a great user mobility. In this paper, we study the mobility of users in user centric networking (UCN) environment. We propose the mobility prediction approach by WLAN group formation. We focus on mobility behavior of users and propose the WLAN group prediction approach. We base the proposed approach on the relatively simple parameters and evaluate the performance of our proposed concept by real implementation. Our approach is based on building the history of encountered WLAN groups, modeling an encounter instance of a new group as arrivals for the proposed model and finally adapting the prediction. In the granular level, the arrival rates are estimated using expectation maximization algorithm. We believe that the proposed approach is important for UCN like environments, where information on the hardware or software capabilities, available network resources, instant AP load and etc are not available for the end-user.
KW - AP Selection in UCN
KW - Expectation Maximization Algorithm
KW - Markov Arrival Processes
KW - Mobility Behavior Modeling
KW - Mobility Prediction
UR - http://www.scopus.com/inward/record.url?scp=84881576898&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881576898&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2013.6554901
DO - 10.1109/WCNC.2013.6554901
M3 - Conference contribution
AN - SCOPUS:84881576898
SN - 9781467359399
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 2184
EP - 2189
BT - 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
T2 - 2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
Y2 - 7 April 2013 through 10 April 2013
ER -