MADM and Rank Similarity-Based Network Selection Algorithm in Heterogeneous Networks

2014 ◽  
Vol 602-605 ◽  
pp. 3342-3346
Author(s):  
Xue Wen Zhu ◽  
Qi Zhu
Keyword(s):  
Quality Of Service ◽  
Variable Coefficient ◽  
Network Selection ◽  
Selection Algorithm ◽  
Analytic Hierarchy ◽  
Weighting Method ◽  
Target Network ◽  
Simulation Results ◽  
Hierarchy Process

In order to provide better service for the users, this paper put forwards a new algorithm for network selection. Firstly, the algorithm acquires weights’ vectors by analytic hierarchy process (AHP), G-1, entropy weighting method (EW) and variable coefficient (VC). Then combine the weights’ vector according to the similarity of different methods. Finally select the target network with the best performance. The simulation results show that the proposed algorithm can provide subscribers with better quality of service.

A Vertical Handoff Decision Algorithm Based on QoS Evaluation

2014 ◽  
Vol 989-994 ◽  
pp. 1464-1468
Author(s):  
Yang Tao ◽  
Kun Zhou
Keyword(s):  
User Preferences ◽  
Vertical Handoff ◽  
Heterogeneous Wireless Network ◽  
Analytic Hierarchy ◽  
Full Account ◽  
Decision Algorithm ◽  
Target Network ◽  
Simulation Results ◽  
Qos Evaluation ◽  
Hierarchy Process

In the next generation of heterogeneous wireless network environment, to meet the network requirements of diverse services ,we propose a vertical handoff decision algorithm based on QoS evaluation that refine the handover unit to services. The proposed algorithm consider the needs of the services、 network conditions、 user preferences and other factors, and makes Analytic Hierarchy Process (AHP) and cost function combine to choose the target network that is best meet the requirements of services . Comparing with the vertical handoff decision based on RSS, simulation results show that the proposed method can take full account of the different QoS requirements of various services types to choose the appropriate network, and would not cause performance degradation.

A Network Selection Algorithm with Parallel Transmission Based on MADM

2014 ◽  
Vol 556-562 ◽  
pp. 4606-4611 ◽  
Author(s):  
Li Na Zhang ◽  
Qi Zhu
Keyword(s):  
Wireless Networks ◽  
Quality Of Service ◽  
Heterogeneous Wireless Networks ◽  
Network Selection ◽  
Selection Algorithm ◽  
Decision Matrix ◽  
Parallel Transmission ◽  
User Throughput ◽  
Selection Algorithms

At present, most of researches on network selection algorithms are focused on single access. To support seamless mobility and provide better quality of service in heterogeneous wireless networks, this paper proposes a network selection algorithm with parallel transmission based on MADM. In the algorithm, we firstly determine all available wireless networks and consider every subset of these networks as a network scheme. Then we obtain aggregation attributes of every scheme and determine the alternative network schemes. Finally, we build the decision matrix of multiple attributes and determine the optimal scheme by using GRA. Simulation results show that the proposed algorithm can obviously improve user quality of service, improve user throughput, reduce power consumption and price cost per bit.

A Novel Differentiate Weight Algorithm on Heterogeneous Network Selection

2013 ◽  
Vol 709 ◽  
pp. 593-598
Author(s):  
Wei Zhang ◽  
Xin Rong Wu ◽  
Wei Han ◽  
Ting Liu ◽  
Shun Jiang
Keyword(s):  
Heterogeneous Network ◽  
Network Selection ◽  
Average Weight ◽  
Qos Guarantee ◽  
Network Meeting ◽  
Target Network ◽  
Order Preference ◽  
Simulation Results ◽  
Better Than

How to select a target network meeting the needs of Quality of Service (QoS) guarantee in heterogeneous network environment has become a research hotspot. In this paper, a novel differentiate weight algorithm on heterogeneous network selection is proposed. As regard of the different needs of QoS for each class of traffic in heterogeneous network, the QoS parameter weight for each class of traffic is calculated by G1 method, and then the target network is selected by technique for order preference by similarity to ideal solution (TOPSIS). At last, simulation results show that the algorithm proposed in this paper is better than average weight algorithm on selecting target network reasonably and balancing network loads.

scholarly journals An Access Network Selection Algorithm for Terrestrial-Satellite Networks Based on a QoS Guarantee

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yongzhou Lu ◽  
Yuanbao Chen ◽  
Shuang Huang ◽  
Mingqi Zhang
Keyword(s):  
Quality Of Service ◽  
Access Network ◽  
Satellite Networks ◽  
Network Selection ◽  
Utilization Rate ◽  
Selection Algorithm ◽  
Qos Guarantee ◽  
Relative Closeness ◽  
Access Network Selection

Considering the communication requirements of different monitoring services and the performance of different access networks, to ensure the quality of service and reliability of sensor networks, we propose an access network selection algorithm based on a quality-of-service (QoS) guarantee. According to the service requirements, the attributes that affect the terminal access options are determined. Then, utility functions are designed for normalizing the attribute values of the network. In addition, we construct a weight calculation model that combines subjective and objective factors. Finally, the algorithm calculates the relative closeness between each pair of networks by the technique for order preference by similarity to an ideal solution (TOPSIS) and sorts the candidate networks to obtain the best candidate network of each monitoring terminal to access. Simulation results show that the proposed algorithm can effectively meet the communication needs of different monitoring services, ensures network reliability, and can improve the utilization rate of network resources.

A Novel Heterogeneous Wireless Network Selection Algorithm Based on INFAHP and IGRA

2020 ◽  
Vol 20 (03) ◽  
pp. 2050010
Author(s):  
HEWEI YU ◽  
MEIYUAN GUO ◽  
JINGXI YU
Keyword(s):  
Analytic Hierarchy Process ◽  
Wireless Network ◽  
Multiple Attribute Decision Making ◽  
Network Selection ◽  
Heterogeneous Wireless Network ◽  
Network Access ◽  
Selection Algorithm ◽  
Analytic Hierarchy ◽  
Multiple Attribute ◽  
Hierarchy Process

In the research of heterogeneous wireless network access selection algorithm, the method used for setting network attribute parameter weights is usually simple: using one of the subjective or objective weighting methods: Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP), Entropy, etc. As a result, the network selection results are incomprehensive. In this paper, we propose a new selection algorithm based on the combination of Intuitionistic Normal Fuzzy Analytic Hierarchy Process (INFAHP) and Improved Grey Relation Analysis (IGRA), which has been proved to be a new Multiple Attribute Decision Making (MADM) method based on the combination of subjective and objective weights. This algorithm expresses the semantic importance of the intuitionistic normal fuzzy number and calculates the subjective weight of network attributes using INFAHP while obtaining the objective weight using Coefficient of Variation (CV) at the same time. The final weights are integrated by subjective and objective weights. After that, the candidate networks can be sorted using IGRA. The proposed algorithm can get the more comprehensive weights of the network attributes by integrating the subjective and objective weights. Simulation results show that our algorithm can reduce the ratio of network handovers by 25% in average in the four traffic classes and improve the ping-pong effect effectively, so as to better meet users’ demands for QoS.

scholarly journals Determination of Environmental Factors for the Implementation of the Exploitability Index in Industrial Aggregate Mining Using Multi-Criteria Analysis

2021 ◽  
Vol 10 (4) ◽  
pp. 196
Author(s):  
Julio Manuel de Luis-Ruiz ◽  
Benito Ramiro Salas-Menocal ◽  
Gema Fernández-Maroto ◽  
Rubén Pérez-Álvarez ◽  
Raúl Pereda-García
Keyword(s):  
Environmental Factors ◽  
Environmental Factor ◽  
Human Life ◽  
Accurate Estimation ◽  
Analytic Hierarchy ◽  
Main Components ◽  
Hierarchy Process ◽  
Made In

The quality of human life is linked to the exploitation of mining resources. The Exploitability Index (EI) assesses the actual possibilities to enable a mine according to several factors. The environment is one of the most constraining ones, but its analysis is made in a shallow way. This research is focused on its determination, according to a new preliminary methodology that sets the main components of the environmental impact related to the development of an exploitation of industrial minerals and its weighting according to the Analytic Hierarchy Process (AHP). It is applied to the case of the ophitic outcrops in Cantabria (Spain). Twelve components are proposed and weighted with the AHP and an algorithm that allows for assigning a normalized value for the environmental factor to each deposit. Geographic Information Systems (GISs) are applied, allowing us to map a large number of components of the environmental factors. This provides a much more accurate estimation of the environmental factor, with respect to reality, and improves the traditional methodology in a substantial way. It can be established as a methodology for mining spaces planning, but it is suitable for other contexts, and it raises developing the environmental analysis before selecting the outcrop to be exploited.

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