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## A Novel Ranking Algorithm Based Network Selection For Heterogeneous Wireless Access

Citations: | 1 - 0 self |

### Citations

181 |
Multi-Criteria Decision Making Methods: A Comparative Study
- Triantaphyllou
- 2000
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Citation Context ...nt 0.65(or 0.6 0.7) Important 0.75(or 0.7 0.8) Strongly important 0.85(or 0.8 0.9) Very strongly important 0.95(or 0.9 1.0) Extremely important C. TOPSIS The TOPSIS methode has been developed in 1981 =-=[26]-=-. The basic principle of the TOPSIS is that the chosen alternative should have the ”shortest distance” from the positive ideal solution and the “farthest distance” from the negative ideal solution. Th... |

175 |
Always best connected
- Gustafsson, Jonsson
- 2003
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Citation Context ...r bandwidth. However two issues are involved. The first one is how to allow the users the possibility to benefit of the all radio access technologies under the principle “Always Best connected“ (ABC) =-=[1]-=-. The concept ABC allows the users to be always best connected to different services anywhere at anytime with devices multi-interfaces. The second issue is how to ensure the interoperability and the c... |

153 | Policy-enabled handoffs across heterogeneous wireless networks
- Wang, Katz, et al.
- 1999
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Citation Context ...h have heterogeneous specifications. To cope with the first issue, the operators have designed and developed new terminals which are equipped with multiple interfaces. Moreover, the vertical handover =-=[2]-=- is intended to maintain the convergence between heterogeneous networks. The handover vertical means that terminal mobile can transfers call from one base station (BS) or point of attachment (AP) whic... |

130 |
Introduction of grey system theory,”
- Deng
- 1989
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Citation Context ... S − j + S− j i )2 , j = 1, ..., n (21) , j = 1, ..., n. (22) A set of alternatives can be ranked according to the decreasing order of C ∗ j . The GRA algorithm is belonging to the grey system theory =-=[27]-=-, which is suitable MADM method to analyze the relational grade for several discrete sequences and select the best sequence. The basic principle of the GRA is based on gray rational coefficient (GRC).... |

15 |
Multi-Attribute Network Selection by Iterative TOPSIS for Heterogeneous Wireless Access
- Bari, Leung
- 2007
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Citation Context ...olve the network selection problem. However, these two MADM methods still suffer from ranking abnormality. Some proposals were presented to avoid the ranking abnormality problem in TOPSIS and GRA. In =-=[19]-=-, the authors have proposed an iterative approach for application of TOPSIS for network selection problem. The disadvantage of this method is the computation time to perform the handover. For instance... |

11 |
A context-aware vertical handover decision algorithm for multimode mobile terminals and its performance
- Ahmed, Kyamakya, et al.
- 2006
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Citation Context ...ation of the criteria: this issue involves the identification of the appropriate criteria that should be used during the network selection decision. The network selection depends on multiple criteria =-=[4]-=-, from terminal side: battery, velocity, life user preferences, and from the network side: provider’s profile, current QoS parameters. In addition, these criteria are static or dynamic that will influ... |

8 |
Comparison of MADM decision algorithms for interface selection in heterogeneous wireless networks
- Tran, Boukhatem
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Citation Context ... additive weighting (SAW), technique for order preference by similarity to ideal solution (TOPSIS), grey relational analysis (GRA), distance to ideal alternative (DIA) and VIKOR. According to [6] and =-=[7]-=- the all handover algorithms based on MADM still present two weaknesses: 1) Ranking abnormality: means that the ranking of candidate networks changes when low ranking alternative is removed from the c... |

8 |
Novel Network Selection Algorithm for Various Wireless Network Interfaces
- Godor
(Show Context)
Citation Context ...ture work are indicated in section VI. II. RELATED WORK Recently, various network selection algorithms based on MADM approach have been developed exhaustively in the literature. In [8], [9], [10] and =-=[11]-=-, the network selection algorithm combines two MADM methods AHP and GRA. The AHP method is used to determine weight for each criterion and GRA method is applied to rank the alternatives. In [12], [13]... |

7 |
A network selection algorithm considering power consumption in hybrid wireless networks
- Joe, Kim, et al.
- 2007
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Citation Context ...ns are drawn and future work are indicated in section VI. II. RELATED WORK Recently, various network selection algorithms based on MADM approach have been developed exhaustively in the literature. In =-=[8]-=-, [9], [10] and [11], the network selection algorithm combines two MADM methods AHP and GRA. The AHP method is used to determine weight for each criterion and GRA method is applied to rank the alterna... |

7 |
An access network selection algorithm for heterogeneous wireless environments
- Sgora, Vergados, et al.
(Show Context)
Citation Context ...] and [11], the network selection algorithm combines two MADM methods AHP and GRA. The AHP method is used to determine weight for each criterion and GRA method is applied to rank the alternatives. In =-=[12]-=-, [13], [14] and [15] the network selection algorithm is based on AHP and TOPSIS. The AHP method is used to calculate the weights of the criteria and TOPSIS method is applied to determine the ranking ... |

6 |
E.Steven, “Performance comparison between MADM algorithms for vertical handoff
- Morales, rico
(Show Context)
Citation Context ...ng tow MAMD methods AHP and SAW. The AHP method is used to provide a weight for each criterion involved in the network selection. SAW algorithm is applied to provide a ranking of all alternatives. In =-=[18]-=- four vertical handover decision algorithms namely, SAW, MEW, TOPSIS and GRA are studied and compared for all four traffic classes namely, conversational, streaming, interactive and background. Among ... |

6 | Project Selection by Using Fuzzy AHP and TOPSIS Technique
- Mahmoodzadeh, Pariazar, et al.
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Citation Context ...8 0.90 1.12 1.24 1.32 1.41 1.45 1.49 B. FAHP The FAHP is one of the extensive multi-attribute decision making. Fuzzy AHP is an extension of AHP has been developed to solve hierarchical fuzzy problems =-=[25]-=-. In the fuzzy AHP procedure, the pairwise comparisons in the judgment matrix are fuzzy numbers that are modified according to the designers focus. The FAHP is based on four stages: 1) Construct of th... |

5 |
Huimin and Zhang Jinyan, "Network access selection algorithm based on the analytic hierarehy process and gray relation analysis
- Yafang, Cui
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Citation Context ...wn and future work are indicated in section VI. II. RELATED WORK Recently, various network selection algorithms based on MADM approach have been developed exhaustively in the literature. In [8], [9], =-=[10]-=- and [11], the network selection algorithm combines two MADM methods AHP and GRA. The AHP method is used to determine weight for each criterion and GRA method is applied to rank the alternatives. In [... |

5 |
Eliminating rank reversal phenomenon in GRA-based network selection method
- Huszák, Imre
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Citation Context ...ranking algorithm consists on summing each value of the row elements. By doing so, all the values of the vectors are treated in the same way, and the different criteria are not correlated as well. In =-=[22]-=- the authors proposed GRA-based network selection method to avoid the rank reversal phenomenon in GRA method. This one is based on absolute min-max values normalization type. The network selection is ... |

5 |
A Hybrid Approach for Network Selection in Heterogeneous Multi-Access Environments
- Adib
- 2011
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Citation Context ...onsidered in this process, when the MADM methods are applied. The heterogeneity is that these criteria dont have the same measure unit and there is an absence of correlation between them. For that in =-=[23]-=- the authors have proposed a hybrid method based MADM which combines two methods such as AHP and TOPSIS. The proposed method can facilitate the network selection of the mobile © 2013 ACADEMY PUBLISHER... |

5 |
Decision making for leaders: the analytical hierarchy process for decisions in a complex world
- L
- 1990
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Citation Context ...bnormality problem, and also it allows to reduce the number of handoffs. III. MULTI ATTRIBUTE DECISION MAKING A. AHP The AHP is one of the extensive multi-attribute decision making developed by Saaty =-=[24]-=-. The AHP approach has been widely used in network selection process to assign weights for different criteria. The AHP approach is based on five steps: 1) Construct of the structuring hierarchy: a pro... |

4 |
L.,“On the complexity of Always Best Connected
- Gazis, Houssos, et al.
- 2003
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Citation Context ...ss for users in order to support many services with best QoS in heterogeneous multi-access environments. The network selection problem is considered as a complex problem and mapped in NP-Hard problem =-=[3]-=-. Several tasks need to be addressed in order to select the most suitable network in terms of quality of service. Generally, it may be considered that three issues dominate the network selection probl... |

4 |
Network Selection in Heterogeneous Wireless Environment: A Ranking Algorithm
- Dhar, Kiran, et al.
(Show Context)
Citation Context ...ged as well. In addition the euclidean distance used by DIA doesn’t take into account the correlation between different criteria, all the components of the vectors will be treated in the same way. In =-=[21]-=- the authors have proposed the ranking algorithm based on finding the median of each column in the normalized weighted decision matrix. The disadvantage of this method is that, the ranking algorithm c... |

3 |
A Simple Additive Weighting Vertical Handoff Algorithm Based on
- Shen-mei, Su, et al.
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Citation Context ...the network selection algorithm is based on AHP and TOPSIS. The AHP method is used to calculate the weights of the criteria and TOPSIS method is applied to determine the ranking of access network. In =-=[16]-=- and [17] the network selection decision is modeled using tow MAMD methods AHP and SAW. The AHP method is used to provide a weight for each criterion involved in the network selection. SAW algorithm i... |

3 |
A Vertical Media-Independent Handover Decision Algorithm across Wi-Fi and WiMAX Networks”. Paper presented at
- Yang, Wu, et al.
- 2008
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Citation Context ...rk selection algorithm is based on AHP and TOPSIS. The AHP method is used to calculate the weights of the criteria and TOPSIS method is applied to determine the ranking of access network. In [16] and =-=[17]-=- the network selection decision is modeled using tow MAMD methods AHP and SAW. The AHP method is used to provide a weight for each criterion involved in the network selection. SAW algorithm is applied... |

2 |
et al., ”A survey of vertical handover decision algorithms in Fourth Generation heterogeneous wireless networks
- Yan
- 2010
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Citation Context ...fication of the most algorithm that exploits these criteria in order to select the optimal network. Many existing algorithms have been proposed in the literature to cope with this issue. According to =-=[5]-=-, we can categorize the network selection algorithms into four kinds such handover based RSS, handover based bandwidth, cost function and combination algorithms. The last category includes handover al... |

2 |
Network selection in a WiMAXWiFi environment
- Sgora, Gizelis, et al.
- 2011
(Show Context)
Citation Context ...[11], the network selection algorithm combines two MADM methods AHP and GRA. The AHP method is used to determine weight for each criterion and GRA method is applied to rank the alternatives. In [12], =-=[13]-=-, [14] and [15] the network selection algorithm is based on AHP and TOPSIS. The AHP method is used to calculate the weights of the criteria and TOPSIS method is applied to determine the ranking of acc... |

2 |
An improved TOPSIS vertical handoff algorithm for heterogeneous wireless networks
- Sheng-mei, Su, et al.
- 2010
(Show Context)
Citation Context ...the network selection algorithm combines two MADM methods AHP and GRA. The AHP method is used to determine weight for each criterion and GRA method is applied to rank the alternatives. In [12], [13], =-=[14]-=- and [15] the network selection algorithm is based on AHP and TOPSIS. The AHP method is used to calculate the weights of the criteria and TOPSIS method is applied to determine the ranking of access ne... |

2 |
The distance to the ideal alternative(DiA) algorithm for interface selection in heterogeneous wireless networks
- Tran, Boukhatem
- 2008
(Show Context)
Citation Context ...tage of this method is the computation time to perform the handover. For instance, if we have n available networks, we must repeat iterative TOPSIS n-1 until the best interface network is reached. In =-=[20]-=- the authors have presented the DIA algorithm which can select the alternative that is the shortest euclidean distance to positive ideal alternative (PIA). One of the main disadvantages of DIA is does... |

1 |
An overview of vertical handover decisionstrategies in heterogeneous wireless networks
- Kassar, Kervella, et al.
- 2008
(Show Context)
Citation Context ..., simple additive weighting (SAW), technique for order preference by similarity to ideal solution (TOPSIS), grey relational analysis (GRA), distance to ideal alternative (DIA) and VIKOR. According to =-=[6]-=- and [7] the all handover algorithms based on MADM still present two weaknesses: 1) Ranking abnormality: means that the ranking of candidate networks changes when low ranking alternative is removed fr... |

1 |
Fast Vertical Handover Algorithm for Vehicular Communication: A Holistic Approach
- Dhar, Datta, et al.
- 2012
(Show Context)
Citation Context ...rk selection algorithm combines two MADM methods AHP and GRA. The AHP method is used to determine weight for each criterion and GRA method is applied to rank the alternatives. In [12], [13], [14] and =-=[15]-=- the network selection algorithm is based on AHP and TOPSIS. The AHP method is used to calculate the weights of the criteria and TOPSIS method is applied to determine the ranking of access network. In... |

1 |
Maesschalck and all, “The Mahalanobis distance
- De
- 2000
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Citation Context ...proach is introduced to deal with the uncertainty by expressing the pairwise comparisons of the decision factors. 3) Mahalanobis distance algorithm: is a metric introduced by P.C. Mahalanobis in 1936 =-=[28]-=-. It has played a fundamental and important role in statistic, and data analysis, with multiple measurements. In addition mahalanobis distance takes into account the correlation between attributes val... |

1 |
Concepts and Architecture” 2005, tS 22.107 (v 6.3.0). Mohamed Lahby was born in
- “3GPP
- 1978
(Show Context)
Citation Context ...thm based on Fuzzy AHP and Mahalanobis Distance (FADM), we present performance comparison between four algorithms namely: TOPSIS, GRA, and FAMD. We perform three simulations, for four traffic classes =-=[29]-=- namely background, interactive, conversational and streaming. In each simulation the four algorithms were run in 100 vertical handoff decision points by using MATLAB simulator. In each simulation we ... |