New Network Selection Algorithm Based on Cosine Similarity Distance and PSO in Heterogeneous Wireless Networks

Said Radouche,Cherkaoui Leghris,Liansheng Tan

doi:10.1155/2021/6613460

Abstract

Future wireless communication networks will be composed of different technologies with complementary characteristics. Thus, vertical handover (VHO) must support seamless mobility in such heterogeneous environments. The network selection is an important phase in the VHO process and it can be formulated as a multiattribute decision-making problem. So, the mobile terminal equipped with multiple interfaces will be able to choose the most suitable network. This work proposes an access network selection algorithm, based on cosine similarity distance, subjective weights using Fuzzy ANP, and objective weights using particle swarm optimization. The comprehensive weights are based on the cosine similarity distance between the networks and the ideal network. Finally, the candidate network with the minimum cosine distance to the ideal network will be selected in the VHO network selection stage. The performance analysis shows that our proposed method, based on cosine similarity distance and combination weights, reduces the ranking abnormality and number of handoffs in comparison with other MADM methods in the literature.

Highlights

Mobile users usually move into heterogeneous environments, which are composed of different wireless access technologies, such as 5G, long-term evolution (LTE), universal mobile telecommunication system (UMTS), wireless local area networks (WLANs), and Worldwide Interoperability for Microwave Access (WiMAX)
To optimize the network selection decision problem in a heterogeneous wireless network environment, we propose a new method based on cosine similarity distance and the combination of subjective and objective weights
We propose an access network selection algorithm based on cosine similarity distance and particle swarm optimization (PSO) algorithm. e key property of the proposed approach is to minimize the cosine similarity distance between every candidate network and the ideal network. e proposed method is based on the combination of subjective and objective weights, to minimize the uncertainty in the decision-maker preference

Summary

Introduction

Mobile users usually move into heterogeneous environments, which are composed of different wireless access technologies, such as 5G, long-term evolution (LTE), universal mobile telecommunication system (UMTS), wireless local area networks (WLANs), and Worldwide Interoperability for Microwave Access (WiMAX). E transfer process of mobile terminal connectivity in a seamless way, from one network to another, is called handover and is divided into three main phases: handover initiation phase, handover decision phase (network selection), and handover execution phase. When this process is performed between two networks with different access technologies, it is called vertical handover (VHO). In the handover decision process, the mobile terminal selects the best available network available in a heterogeneous environment. The study is concluded, and some perspectives are addressed

Related Works

Metaheuristic Algorithms

Evaluation

Simulation and Results

Conclusion and Perspectives