Dynamic Access Network Selection with QoS Parameters Estimation: A Step Closer to ABC

Abstract

Always best connected (ABC) services allows multimode mobile terminals to stay connected to the best available networks, at anytime according to user preferences. One of the key aspects in realizing such ABC service is mainly attributed to an effective and dynamic access network selection process. However, most of the previous works consider the access network selection process as a static optimization problem which fails to address the dynamic QoS conditions intrinsic in wireless networks. One of the main challenges remains as no efficient way in obtaining dynamic QoS parameters such as packet delay, packet loss and jitter. In this paper, we proposed a novel dynamic access network selection algorithm capable of adapting to prevailing network conditions. Our algorithm is a dual stage estimation process where network selection performed using sequential Bayesian estimation relies on dynamic QoS parameters estimated through bootstrap approximation. Simulations demonstrate the effectiveness of our proposed algorithm which outperforms static optimization approach in a highly efficient manner.978-1-4244-1645-5/08/$25.00 ©2008 IEEE

Multihoming aware optimization mechanism

“…For instance, Bayesian learning is a statistical approach that allows to make decisions in the presence of uncertainties, based on Bayes theorem. Using such theorem, it is possible to determine the network quality probability of being inside some thresholds [Ong and Khan, 2008]. Nonetheless, the issue with such kind of approach is the associated complexity and the high computational overhead [Charilas and Panagopoulous, 2010].…”

Applying the Service-Oriented Architecture for Network Discovery and Selection in the Next Generation Wireless Mobile Networks

“…A fuzzylogic based multiple-criteria decision making system to perform access network selection in a heterogeneous network environments is described in [7]. In [10] the authors develop a dual-stage process based on sequential Bayesian estimation for dynamic network selection. The utility theory is applied in [9] for developing a decision mechanism for access network selection.…”

QoS provisioning for VoIP over wireless local area networks

“…We further account for the effects of non-stationary components in the second stage by performing the sequential Bayesian estimation with cumulative sum (CUSUM) monitoring in stations while listening to beacon broadcasts containing QoS parameter estimates. We refer readers to [7] for a more detailed description.…”

“…In this paper, we proposed an integrated load balancing scheme featuring (i) QoS-based fast handover to support seamless handover; and (ii) soft admission control to protect QoS of existing voice connections in VoWLAN, both by estimating critical network QoS parameters [7]. To the best of our knowledge, there is no prior research on load balancing scheme that guarantee service QoS and jointly optimize system utilization by considering QoS-based fast handover in conjunction with soft admission control.…”