论文标题
在异质无线网络中进行网络选择的MADM方法
A MADM method for network selection in heterogeneous wireless networks
论文作者
论文摘要
同一区域中不同无线电访问技术（老鼠）的共存使研究人员每时每刻都选择最佳老鼠从可用的网络中获利，以满足用户需求。挑战是实现始终最佳连接（ABC）概念；主要问题是从可用大鼠列表中自动选择合适的无线电访问技术（RAT）。该决定称为网络选择（NS）。在本文中，我们提出了一个修改的简单添加称重（修改后的）功能，以应对现有解决方案的缺点。实际上，现有的多个属性决策（MADM）方法主要遇到著名的等级逆转问题，一旦添加或删除了替代方案，传统MADMS中就会发生其他问题。我们聪明地修改了SAW方法，并使用它来解决NS问题。最后，我们将解决方案的性能与以前在不同情况下的作品进行了比较。模拟表明，我们的建议优于其他现有方法
The coexistence of different Radio Access Technologies (RATs) in the same area has enabled the researchers to get profit from the available networks by the selection of the best RAT at each moment to satisfy the user requirements. The challenge is to achieve the Always Best Connected (ABC) concept; the main issue is the automatic choice of the suitable Radio Access Technology (RAT) from the list of the available RATs. This decision is called network selection (NS). In this paper, we propose a modified Simple Additive Weigh (modified-SAW) function to deal with the drawbacks of the existing solutions. Indeed, the existing Multiple Attribute Decision Making (MADM) methods suffer mainly from the famous problem of rank reversal once an alternative is added or removed, other problems occur in the legacy MADMs. We modify the SAW method intelligently and we use it to solve the NS problem. Finally, we compare the performance of our solution with the previous works in different scenarios; the simulations show that our proposal outperforms the other existing methods
