A Heterogeneous Wireless Network Selection Algorithm for Smart Distribution Grid Based on Chi-square Distance

2018 ◽  
Author(s):  
Haoran Chou
Keyword(s):  
Wireless Network ◽  
Network Selection ◽  
Heterogeneous Wireless Network ◽  
Selection Algorithm ◽  
Distribution Grid ◽  
Chi Square ◽  
Smart Distribution Grid ◽  
Grid Based

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.

Access Selection Algorithm of Heterogeneous Wireless Networks for Smart Distribution Grid Based on Entropy-Weight and Rough Set

2017 ◽  
Vol 18 (6) ◽  
Author(s):  
Min Xiang ◽  
Qinqin Qu ◽  
Cheng Chen ◽  
Li Tian ◽  
Lingkang Zeng
Keyword(s):  
Wireless Networks ◽  
Rough Set ◽  
Blocking Probability ◽  
Heterogeneous Wireless Networks ◽  
Dynamic Network ◽  
Selection Algorithm ◽  
Distribution Grid ◽  
Entropy Weight ◽  
Access Selection ◽  
Smart Distribution Grid

AbstractTo improve the reliability of communication service in smart distribution grid (SDG), an access selection algorithm based on dynamic network status and different service types for heterogeneous wireless networks was proposed. The network performance index values were obtained in real time by multimode terminal and the variation trend of index values was analyzed by the growth matrix. The index weights were calculated by entropy-weight and then modified by rough set to get the final weights. Combining the grey relational analysis to sort the candidate networks, and the optimum communication network is selected. Simulation results show that the proposed algorithm can implement dynamically access selection in heterogeneous wireless networks of SDG effectively and reduce the network blocking probability.

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