Network Interface Selection Strategy In Next Generation Heterogeneous Wireless Environment

Future wireless and mobile communications will offer a wide range of services available to users anywhere at any time. Development in wireless access technologies and multi-homed personal user devices is driving the way towards a heterogeneous wireless access network environment. The vision is that users will not be tied down to a long term contract with one single operator and will instead be able to dynamically choose access provision which can best service their preferences for the current application. The evolving competitive marketplace will provide a choice of access networks in any given location, each offering different network technologies with varying characteristics to transport the user's communications application. Therefore there is a need to have mechanisms to decide which network is the most suitable for each user at each moment for every application that user requires. The contributions of this paper are as follows: [1] Designed and developed a two-phase intelligent network interface selection model. Why this model has been divided into two phases? There are two main reasons for that:(l) the requirements come from applications are comparatively less stable than those coming from users, so it is better to handle two kinds of requirements differently on some level. (2) user-based network interface selection strategy is inevitably time and resource cosuming, in view of the resource limitation on mobile end device, and the handover time delay which is admired to be short, it is worthy to make an effort to decrease the number of the candidate networks which will be the input of user-based network interface selection model.so networks which are fail to meet the requirements from applications are rejected in phase one. In this way, the complexity of the strategy in phase two will be reduced a lot. [2] Proposed a utility-based strategy for network selection in the multi-access network scenario. Utility functions are examined which explore different user attitudes to risk for money and delay preferences related to their current application. CS (Consumer Surplus) -based algorithm is used to select the best available network for transferring non real-time data, with user specified time constrains. When compared to an AC (always cheapest) algorithm, simulation results show significant performance gains for the CS-based algorithm in transfer completion time. [3] Discussed about how to apply this intelligent network interface selection model to the network scenario which is developed by DAIDALOS project-work package 2 by taking advantage of CARD protocol (RFC4066: Candidate Access Router Discovery) .