A spectrum sharing method based on fuzzy logic in IEEE 802.22 WRAN

Yang, Shun-Fang; Wu, Jung-Shyr

doi:10.1109/wcsp.2010.5633444

Cited by 12 publications

(6 citation statements)

References 21 publications

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“…After the publication of the 802.22 standard in 2011, many other coordinated selfcoexistence schemes have been proposed, such as two channel assignment schemes for cooperative and non-cooperative 802.22 devices [131], traffic-aware self-coexistence management [132], fuzzy logic control-based inter-network coexistence protocol [108], and self-coexistence among interferenceaware IEEE 802.22 networks with enhanced air-interface [133].…”

Section: A Coordinated Methods For Homogeneous Networkmentioning

confidence: 99%

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

et al. 2016

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Section: A Coordinated Methods For Homogeneous Networkmentioning

confidence: 99%

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

et al. 2016

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“…The application of fuzzy logic has been explained for telecommunications and a novel fuzzy inter-related scheme has been proposed by [14] for cooperative spectrum sensing in CRN. For identifying the unoccupied channel in low Signal to Noise Ratio (SNR) range, Cyclostationary Feature Detector (CFD) and Auto-correlation Detector (ACD) and for high SNR range, Energy Detector (ED) and Singular Value Detector (SVD) as multistage detection techniques have been adopted by [15].…”

Section: Crn Is a Wireless Network Which Comprises Several Types Of Primary Users (Pu) Andmentioning

confidence: 99%

Optimized Channel Decision & Secure Data Transmission for Health Monitoring Using Wireless Body Area Network Through Cognitive Controller

Rajaguru¹,

Devi

Marichamy³

2021

Preprint

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Remote monitoring system has been applied in different applications such as agriculture, industrial automation, defence, telecommunication and health care. In health care applications, wireless networks get the impact with Wireless Body Area Network (WBAN). WBAN is helpful in monitoring patients’ health and it also possesses secure transmission and access control mechanism with different sensors. WBAN monitors the patient’s health and transfers the information to data pool without influencing patient’s daily routine activities. Further, the health report data are sent to the doctor over the network from the place of the patient without any data loss and delay. Due to increasing usage of wireless services, the available networks have been congested with heavy traffic which leads to miscommunication and delay. To overcome this scenario, solution has been proposed with help of Cognitive Radio Networks (CRN). Collected information are transferred to cognitive controller which acts as central node. Cognitive controller selects the channel to transfer the information with QoS as well as without any delay. Based on the input parameters, the channel selection process is optimized and it will also improve the system performance with secure transmissions. Using Fuzzy Inference System (FIS) optimizing, the channel selection process has been carried out and it also provides more accurate solution to choose the channel. For the optimization of the proposed approach Mamdani and Sugeno methods have been used. These methods yield the best results with minimum error probability of 0.9 compared to the existing methods and these methods have achieved efficiencies of 98% and 99%, respectively.

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“…There are three steps involved in FLS decision procedures, namely fuzzification, fuzzy inference engine (FIE) and defuzzification [20]. The fuzzification process fuzzifies each input linguistic variable to produce a set of fuzzy numbers.…”

Section: Fig 4: Fuzzy Sets For the Antecedents And The Consequentsmentioning

confidence: 99%

Transmit Power Minimization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks

Sultan¹,

Zafar²,

Sultan³

2015

IJCA

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Transmit power minimization is one of the major research challenges in Relay-Assisted Cognitive Radio Networks. In this process, the transmit power of each individual relay is adjusted in such a way that the overall transmit power consumption at the relay network is minimized while satisfying the minimum Quality-of-Service (QoS) requirements of primary and secondary networks. In this paper, a similar constrained optimization problem is focused in which a secondary source-destination pair is assisted by a potential relay network having Cognitive Radio capabilities. A Fuzzy Rule Based System (FRBS) is proposed for intelligent relay selection such that total transmit power at the relay network is minimized while achieving the desired signal-to-noise ratio (SNR) at the destination and keeping the primary communication undisturbed. The effectiveness of the proposed scheme is highlighted through simulation results.

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A spectrum sharing method based on fuzzy logic in IEEE 802.22 WRAN

Cited by 12 publications

References 21 publications

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

Optimized Channel Decision & Secure Data Transmission for Health Monitoring Using Wireless Body Area Network Through Cognitive Controller

Transmit Power Minimization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks

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A spectrum sharing method based on fuzzy logic in IEEE 802.22 WRAN

Cited by 12 publications

References 21 publications

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

Optimized Channel Decision &amp; Secure Data Transmission for Health Monitoring Using Wireless Body Area Network Through Cognitive Controller

Transmit Power Minimization using Fuzzy Rule based System in Relay Assisted Cognitive Radio Networks

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Product

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Optimized Channel Decision & Secure Data Transmission for Health Monitoring Using Wireless Body Area Network Through Cognitive Controller