Considering the Velocity in the Vertical Handover Network Selection Strategy

2019 ◽  
pp. 37-42
Author(s):  
Mouad Mansouri ◽  
Cherkaoui Leghris
Keyword(s):  
Vertical Handover ◽  
Network Selection ◽  
Selection Strategy

User-Driven Network Selection during Vertical Handover in 4G Networks

2017 ◽  
Vol 10 ◽  
pp. 1
Author(s):  
Abubakar Muhammad Miyim ◽  
Mahamod Ismail ◽  
Rosdiadee Nordin
Keyword(s):  
Blocking Probability ◽  
Service Selection ◽  
Vertical Handover ◽  
Network Selection ◽  
Selection Strategy ◽  
Intelligent Network ◽  
Decision Algorithm ◽  
Radio Access ◽  
Service Application ◽  
Multi Access

The importance of network selection for wireless networks, is to facilitate users with various personal wireless devices to access their desired services via a range of available radio access networks. The inability of these networks to provide broadband data service applications to users poses a serious challenge in the wireless environment. Network Optimization has therefore become necessary, so as to accommodate the increasing number of users’ service application demands while maintaining the required quality of services. To achieve that, the need to incorporate intelligent and fast mechanism as a solution to select the best value network for the user arises. This paper provides an intelligent network selection strategy based on the user- and network-valued metrics to suit their preferences when communicating in multi-access environment. A user-driven network selection strategy that employs Multi-Access Service Selection Vertical Handover Decision Algorithm (MASS-VHDA) via three interfaces; Wi-Fi, WiMAX and LTE-A is proposed, numerically evaluated and simulated. The results from the performance analysis demonstrate some improvement in the QoS and network blocking probability to satisfy user application requests for multiple simultaneous services.

scholarly journals Nelder-Mead Optimized MADM Decision Support for Vertical Handover

2019 ◽  
Vol 8 (2S3) ◽  
pp. 601-604
Keyword(s):  
Decision Process ◽  
Vertical Handover ◽  
Network Selection ◽  
Heterogeneous Environment ◽  
Challenging Problem ◽  
Wireless Technology ◽  
Decision Strategy ◽  
Handover Decision ◽  
Required Quality

The vertical handover decision strategy is a challenging problem to support seamless mobility in different wireless technology. The handover decision process is reported to facilitate the required Quality of Service, but bad network selection and overload condition of the chosen network fallout in handover failures. Traditional handoff techniques typically are based on single parameter and are inefficient due to superfluous handovers. In addition, existing fuzzy based handoff method reduces the handover failures but increase the computational complexity. Furthermore, the existing mobile controlled handover techniques are not suitable for heterogeneous environment. Therefore this paper focus the need of efficient, robust and flexible vertical handover technique to reduce the handover failures and design an MADM based network controlled handover that maximize QoS in heterogeneous environment

scholarly journals A Novel Model on Curve Fitting and Particle Swarm Optimization for Vertical Handover in Heterogeneous Wireless Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Shidrokh Goudarzi ◽  
Wan Haslina Hassan ◽  
Mohammad Hossein Anisi ◽  
Seyed Ahmad Soleymani ◽  
Parvaneh Shabanzadeh
Keyword(s):  
Particle Swarm Optimization ◽  
Curve Fitting ◽  
Particle Swarm ◽  
Signal Strength ◽  
Pso Algorithm ◽  
Vertical Handover ◽  
Received Signal Strength ◽  
Network Selection ◽  
Received Signal Strength Indicator ◽  
Swarm Optimization

The vertical handover mechanism is an essential issue in the heterogeneous wireless environments where selection of an efficient network that provides seamless connectivity involves complex scenarios. This study uses two modules that utilize the particle swarm optimization (PSO) algorithm to predict and make an intelligent vertical handover decision. In this paper, we predict the received signal strength indicator parameter using the curve fitting based particle swarm optimization (CF-PSO) and the RBF neural networks. The results of the proposed methodology compare the predictive capabilities in terms of coefficient determination (R2) and mean square error (MSE) based on the validation dataset. The results show that the effect of the model based on the CF-PSO is better than that of the model based on the RBF neural network in predicting the received signal strength indicator situation. In addition, we present a novel network selection algorithm to select the best candidate access point among the various access technologies based on the PSO. Simulation results indicate that using CF-PSO algorithm can decrease the number of unnecessary handovers and prevent the “Ping-Pong” effect. Moreover, it is demonstrated that the multiobjective particle swarm optimization based method finds an optimal network selection in a heterogeneous wireless environment.

scholarly journals ENHANCED NETWORK SELECTION AND HANDOVER SCHEMA FOR HETEROGENEOUS WIRELESS NETWORKS

2019 ◽  
Vol 01 (03) ◽  
pp. 160-171 ◽  
Author(s):  
Duraipandian M
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Wireless Networks ◽  
Vertical Handover ◽  
User Preference ◽  
Network Selection ◽  
Order Preference ◽  
Simple Additive Weighting ◽  
Topsis Technique ◽  
The Cost ◽  
Grey Relational

The seamless communication between the devices of the heterogeneous wireless networks still remains as a challenge due to the delay incurred, the cost difference and the bandwidth variations.so it becomes necessary for a perfect management of the hand over and the selection of the network to provide a continuous conveyance in the broadcasting or the sharing of the information’s. So the paper initiates an enhanced network selection and a vertical hand over schema that is context aware and based on the user preference utilizing the grey relational analysis integrated with the particle swarm optimization. The performance analysis of the proposed method of vertical handover evinces the perfect network selection that enables a continuous connection for the heterogeneous networks and shows an enhanced throughput and latency in handover compared to the other methods like TOPSIS (technique for order preference by similarity to ideal solution) and SAW(simple additive weighting).

Heterogeneous network selection strategy based on power wireless communication system

2021 ◽  
Author(s):  
Chengyin Li ◽  
Qian Qu ◽  
Wenpeng Gao ◽  
Xin Xiao ◽  
Pingliang Yuan ◽  
...  
Keyword(s):  
Wireless Communication ◽  
Communication System ◽  
Heterogeneous Network ◽  
Network Selection ◽  
Selection Strategy ◽  
Wireless Communication System
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