A cognitive wireless networks access selection algorithm based on MADM

2020 ◽  
Vol 109 ◽  
pp. 102286
Author(s):  
Yufeng Zhong ◽  
Huiqiang Wang ◽  
Hongwu Lv
Keyword(s):  
Wireless Networks ◽  
Selection Algorithm ◽  
Access Selection ◽  
Cognitive Wireless Networks

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.

scholarly journals Multi-Attribute Access Selection Algorithm for Heterogeneous Wireless Networks Based On Uncertain Network Attribute Values

2020 ◽  
Author(s):  
Gen Liang ◽  
Xiaoxue Guo ◽  
Guoxi Sun ◽  
Jingcheng Fang ◽  
Hewei Yu ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Fuzzy Theory ◽  
Heterogeneous Wireless Networks ◽  
Mobile Users ◽  
Selection Algorithm ◽  
Analytic Hierarchy ◽  
Coverage Area ◽  
Access Selection ◽  
Order Preference ◽  
Selection Algorithms

Abstract A heterogeneous wireless network (HWN) environment contains many kinds of wireless networks, such as UMTS, LTE, and WLAN, where users move around within their coverage area. How to ensure mobile users select the most suitable network is a hot research topic for HWNs. While traditional access selection algorithms assume that mobile users can obtain accurate network attribute values, the network attribute values obtained by mobile users are often uncertain due to the mobility of users, the interference of wireless signals, and the fluctuation of the network state. To solve this problem, this paper designs an access selection algorithm for HWNs in the context of inaccurate network attribute values. First, the algorithm calculates the network attribute values based on the hesitant fuzzy theory, then calculates the weights of network attributes using the fuzzy analytic hierarchy process (FAHP), and finally sorts the candidate networks using the hesitant fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method. The simulation results show the proposed algorithm enables users to select the most suitable network to access under the inaccurate network attribute environment and obtain higher gains.

scholarly journals A User-Oriented Intelligent Access Selection Algorithm in Heterogeneous Wireless Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Gen Liang ◽  
Xiaoxue Guo ◽  
Guoxi Sun ◽  
Jingcheng Fang
Keyword(s):  
Neural Network ◽  
Wireless Networks ◽  
Fuzzy Neural Network ◽  
Heterogeneous Wireless Networks ◽  
User Preference ◽  
Selection Algorithm ◽  
Access Selection ◽  
Candidate Network ◽  
Fuzzy Neural ◽  
Calculation Module

A heterogeneous wireless network (HWN) contains many kinds of wireless networks with overlapping areas of signal coverage. One of the research topics on HWNs is how to make users choose the most suitable network. This paper designs a user-oriented intelligent access selection algorithm in HWNs with five modules (input, user preference calculation, candidate network score calculation, output, and learning). Essentially, the input module uses a utility function to calculate the utility value of the judgment parameter; the user preference calculation module calculates the weight of the judgment parameter using the fuzzy analysis hierarchy process (FAHP) approach; the candidate network score calculation module calculates the network score through a fuzzy neural network; the output module calculates the error between the actual output value and the expected output value; and the learning module corrects the parameter of the membership function in the fuzzy neural network structure according to the error. Simulation results show that the algorithm proposed in this paper can enable users to select the most suitable network according to service characteristics and can enable users to obtain higher gains.

scholarly journals An Access Selection Algorithm for Heterogeneous Wireless Networks Based on Optimal Resource Allocation

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Gen Liang ◽  
Guoxi Sun ◽  
Jingcheng Fang ◽  
Xiaoxue Guo ◽  
Hewei Yu
Keyword(s):  
Resource Allocation ◽  
Wireless Networks ◽  
Transmission Rate ◽  
Heterogeneous Wireless Networks ◽  
Selection Algorithm ◽  
Optimal Resource Allocation ◽  
Access Selection ◽  
Optimal Value ◽  
Optimal Resource ◽  
Selection Algorithms

Wireless networks form heterogeneous wireless networks (HWNs) with overlapping signal coverage, and access selection is one of the key technologies of HWNs. Today, most access selection algorithms select appropriate networks mainly from the perspective of users while failing to consider resource allocation and optimize the overall transmission performance of HWNs. This paper proposes an access selection algorithm for HWNs based on optimal resource allocation by analyzing the wireless link transmission rate model, focusing on maximizing the HWN transmission rate, using the dynamic programming theory to derive the optimal value of bandwidth allocated to users. Experimental results show that the algorithm proposed in this paper can effectively improve network throughput and resource utilization and can connect users to the appropriate network according to QoS rate requirements.

scholarly journals Multiattribute Access Selection Algorithm Supporting Service Characteristics and User Preferences in Heterogeneous Wireless Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-27
Author(s):  
Xiaoxue Guo ◽  
Mohd. Hasbullah Omar ◽  
Khuzairi Mohd Zaini
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Wireless Networks ◽  
User Preferences ◽  
User Preference ◽  
Selection Algorithm ◽  
Selection Scheme ◽  
Value Network ◽  
Access Selection ◽  
Service Characteristics ◽  
Candidate Network

In heterogeneous wireless networks (HWNs), various wireless networks have signal ranges that overlap and cover each other. Enabling mobile users to access the most suitable network is one of the research topics on HWNs. This paper designs a multiattribute access selection algorithm supporting service characteristics and user preferences in HWNs, which includes five calculation modules: network attribute utility value, network attribute weight, network attribute score, user preference value, and candidate network comprehensive score. In addition, the algorithm proposed in this paper integrates the utility theory, fuzzy analysis hierarchy process (FAHP), fuzzy logic, and multiattribute decision-making (MADM) methods for a complete access selection scheme that considers different network performances, service characteristics, and user preferences. The simulation results show that the algorithm proposed in this paper can allow users to select the most suitable network while obtaining higher gains and reducing user handover between different networks.

scholarly journals A Blockchain-Based Node Selection Algorithm in Cognitive Wireless Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 207156-207166
Author(s):  
Huang Tangsen ◽  
Xiaowu Li ◽  
Xiangdong Ying
Keyword(s):  
Wireless Networks ◽  
Selection Algorithm ◽  
Node Selection ◽  
Cognitive Wireless Networks

scholarly journals Multi-Attribute Access Selection Algorithm for Heterogeneous Wireless Networks Based On Uncertain Network Attribute Values

2021 ◽  
Author(s):  
Xiaoxue Guo ◽  
Mohd. Hasbullah Omar ◽  
Khuzairi Mohd Zaini ◽  
Jianfeng Gong ◽  
Jingcheng Fang ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Fuzzy Theory ◽  
Heterogeneous Wireless Networks ◽  
Mobile Users ◽  
Selection Algorithm ◽  
Analytic Hierarchy ◽  
Coverage Area ◽  
Access Selection ◽  
Order Preference ◽  
Selection Algorithms

Abstract A heterogeneous wireless network (HWN) environment contains many kinds of wireless networks, such as UMTS, LTE, and WLAN, where users move around within their coverage area. How to ensure mobile users select the most suitable network is a hot research topic for HWNs. While traditional access selection algorithms assume that mobile users can obtain accurate network attribute values, the network attribute values obtained by mobile users are often uncertain due to the mobility of users, the interference of wireless signals, and the fluctuation of the network state. To solve this problem, this paper designs an access selection algorithm for HWNs in the context of inaccurate network attribute values. First, the algorithm calculates the network attribute values based on the hesitant fuzzy theory, then calculates the weights of network attributes using the fuzzy analytic hierarchy process (FAHP), and finally sorts the candidate networks using the hesitant fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method. The simulation results show the proposed algorithm enables users to select the most suitable network to access under the inaccurate network attribute environment and obtain higher gains.

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