Heterogeneous wireless networks with mobile devices of multiple interfaces for simultaneous connections using Fuzzy System

Cardoso, Jorge Amaro de Sarges; Silva, Fabio Pereira Ferreira da; Carvalho, Tássio; Junior, José Jailton Henrique Ferreira; Vijaykumar, Nandamudi Lankalapalli; Francês, Carlos Renato Lisboa

doi:10.1371/journal.pone.0247142

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…and access to the network with the highest utility value [9,10]. In addition, some literatures adopt mathematical models such as fuzzy logic [11][12][13], optimization calculation [14][15][16], neural network [17,18], game theory [19][20][21] to design access selection algorithms.…”

Section: Introductionmentioning

confidence: 99%

Multiattribute Access Selection Algorithm for Heterogeneous Wireless Networks Based on Fuzzy Network Attribute Values

et al. 2022

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An important feature of the wireless network scenario is that there are multi-radio access technologies in the same area, and the signal coverage of these networks overlaps each other, forming the heterogeneous wireless network area. Network selection algorithm is the key technology of heterogeneous wireless network. The common network selection algorithms are based on accurate network attribute values. However, due to the mobility of users, the interference of wireless signals and the fluctuation of network state, the network attributes obtained by the algorithms are often uncertain. To solve this problem, this paper designs a multi-attribute access selection approach based on the fuzzy network attributes. This approach calculates the network attribute values by interval hesitant fuzzy theory at first. Then, it calculates the subjective weights of network attribute values by the analytic hierarchy process and the objective weights of network attribute values by the entropy method. The integrated weights of subjective weights and objective weights are obtained by the method based on the longest geometric distance to the negative ideal solution. In the end, we calculate the scores of candidate networks by grey relational analysis based on the intuitionistic fuzzy decision matrix. The simulation shows that the algorithm proposed by this paper can select the most suitable network and reduce the number of handoffs under the environment of uncertain network attribute values.

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Section: Introductionmentioning

confidence: 99%

Multiattribute Access Selection Algorithm for Heterogeneous Wireless Networks Based on Fuzzy Network Attribute Values

et al. 2022

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Quality of service management method in а heterogeneous wireless network using Big Data technology аnd mobile QoE application

Beshley

Kryvinska

Beshley

2023

Simulation Modelling Practice and Theory

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A New Dynamic Optimal M2M RF Interface Setting in Relay Selection Algorithm (DORSA) for IoT Applications

Ghasri

Hemmatyar

2022

IEEE Access

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Machine-to-Machine (M2M) communication is an important type of communication in the Internet-of-Things (IoT). How to send data in these high-density communications using relay selection can help improve the performance of this type of communication in various applications. In addition, the possibility of simultaneous use of different Radio Frequency (RF) interfaces helps to use the spectrum more efficiently. In this work, we try to further use machine communication RF equipment and improve the average data rate of networks in some applications such as the IoT, which have their own bandwidth requirements. Therefore, we provide an optimization algorithm for relay selection as well as the simultaneous and dynamic multiple M2M RF interface setting that is called Dynamic Optimal Relay Selection and RF interfaces Setting Algorithm (DORSA). The simulation results show that the average data rate of DORSA with three interfaces (DORSA_W-B-Z) can be improved up to 10% compared to the existing methods such as optimal direct transmission and relay selection algorithms with static RF interface setting.INDEX TERMS Machine-to-machine (M2M) communications, the Internet of Things (IoT), relay selection, dynamic RF interface setting, multiple RF interfaces, optimization algorithm.

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Heterogeneous wireless networks with mobile devices of multiple interfaces for simultaneous connections using Fuzzy System

Cited by 5 publications

References 9 publications

Multiattribute Access Selection Algorithm for Heterogeneous Wireless Networks Based on Fuzzy Network Attribute Values

Multiattribute Access Selection Algorithm for Heterogeneous Wireless Networks Based on Fuzzy Network Attribute Values

Quality of service management method in а heterogeneous wireless network using Big Data technology аnd mobile QoE application

A New Dynamic Optimal M2M RF Interface Setting in Relay Selection Algorithm (DORSA) for IoT Applications

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