Multi-access interface selection based on data mining algorithm

• Published in: 2013 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC) pp. 1457 - 1460
• Main Authors: Khaleel, H., Delgado, M., Pastrone, C., Spirito, M. A., Tchabou, S., Garello, R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2013
• Subjects: Data mining; IEEE 802.11 Standards; Mathematical model; Network interfaces; Training; Wireless communication; Wireless LAN
• DOI: 10.1109/APWC.2013.6624945

Multi-access networks are envisioned to guarantee a continuous service while addressing different application requirements in terms of data rate, coverage and power consumption. Different access technologies can be effectively combined in a multi-access scenario where the overall system is able to achieve a better performance leveraging on the different characteristics of the access technologies. One of the main challenges in realizing a multi-access system is the process of properly selecting a network interface. This paper proposes a network selection algorithm based on the k-nearest neighbor data mining classification technique. This work considers Ethernet, Wi-Fi, and 3GPP technologies; however, the proposed approach could be easily adapted to take into account other access technologies.