TY  - JOUR
T1  - An Effective Prediction Model for Generating Link Going Down Event of IEEE802.21
AU - Shadi Hajar, Muhammad AU - Khaled Chahine, Mohamed AU - Hamdan, Raouf 
JO  - Asian Journal of Information Technology
VL  - 14
IS  - 5
SP  - 187
EP  - 191
PY  - 2015
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2015.187.191
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2015.187.191
KW  - Next generation wireless networks
KW  -prediction
KW  -MIH
KW  -handover
KW  -MIPv6
KW  -LGD
AB  - The next generation of wireless networks intend to offer any service using any device through any network at any time and from anywhere which requires integration of heterogeneous networks. As different access technologies may offer various features, it is important to provide users with access to the most suitable network. To achieve this goal, the IEEE has developed a standard known as IEEE802.21, namely Media Independent Handover (MIH) with the aim of easing seamless mobility between these technologies. IEEE802.21 defines layer 2 events to make upper layer work well; these events are mainly divided into two categories, state change events and predictive events. In this study, we present an effective model of generating the predictive event Link Going Down (LGD) by taking into consideration two network parameters Mobile Node (MN) velocity and Round-Trip Time (RTT). The simulation of the proposed scenario using the network simulator NS2 shows that the time taken by the handover process is noticeably reduced using the proposed model.
ER  -