Optimal Hybrid Spectrum Sensing Under Control Channel Usage Constraint

Biswas, Nilanjan; Das, Goutam; Ray, Priyadip

doi:10.1109/tsp.2018.2838575

Cited by 16 publications

(8 citation statements)

References 38 publications

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“…where s(t) the PU's transmit signal, h i is the channel gain without delay, and n i (t) denotes the additive white Gaussian noise (AWGN) sample with mean 0 and variance σ 2 n . Then, the energy detection method is employed to determine the spectrum sensing result [30]. Thus, the test statistics T i of i-th sensor node for l samples can be given by:…”

Section: Methodology a System Modelmentioning

confidence: 99%

Secure Cooperative Spectrum Sensing Strategy Based on Reputation Mechanism for Cognitive Wireless Sensor Networks

Luo

2020

IEEE Access

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Cooperative spectrum sensing can be regarded as a promising method to resolve the spectrum scarcity owing to achieving spatial diversity gain in cognitive radio sensor networks. However, the spectrum sensing data falsification attack launched by the malicious nodes will result in the wrong decision in the fusion center owing to the falsified observations. It will cause a serious security threat and degrade the decision making process. In this paper, we propose a secure cooperative spectrum sensing strategy based on reputation mechanism for cognitive wireless sensor networks to counter above kind of attack. The beta reputation model is applied to assign reputation value to cognitive sensor nodes according to their historical sensing behavior, and a dynamic trust evaluation scheme of cooperative spectrum sensing is established. In the final decision, the fusion center allocates a reasonable weight value according to the evaluation of the submitted observations to improve the accuracy of the sensing results. Simulation results support that our proposed strategy can weaken the impact of sensing data falsification attacks in cooperative sensing and outperform some traditional methods. INDEX TERMS Cooperative spectrum sensing, reputation mechanism, cognitive wireless sensor networks, cognitive radio.

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Section: Methodology a System Modelmentioning

confidence: 99%

Secure Cooperative Spectrum Sensing Strategy Based on Reputation Mechanism for Cognitive Wireless Sensor Networks

Luo

2020

IEEE Access

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“…In [12], the authors proposed an energy awareness optimal relay selection scheme to reduce transmission errors by determining optimal relays underweighted objective functioning. In [13], the authors proposed a scheme on optimal hybrid spectrum sharing (HSS) under bandwidth constraints of control channels and multiple hard decisions to maximize the throughput of the CRN. In [14], authors have proposed a spectrum mapping scheme in SS under kennels function based on vector machine adoption to enhance performance accuracy by using filtration and accuracy threshold.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Under Double Deck Relay Assistance on Cluster Cooperative Spectrum Sensing in Hybrid Spectrum Sharing

et al. 2020

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Rapid growth in demand for spectrum resources and technology expansion in wireless communication systems such as satellite communication networks and upcoming 5G networks has led us to investigate the best cognitive radio network scheme towards achievements of energy efficiency in wireless communication networks for cooperative spectrum sensing. In this paper, we introduce a doubledeck cluster cooperative relay assistance model in hybrid spectrum sharing for cognitive radio networks. This proposed model enables the attainment of energy efficiency by optimizing cooperative secondary users in their respective cluster groups. According to the design of this model, we apply the power allocation scheme under mathematical analysis based on its power constraints. Normalized energy consumptions and amplifying gains are achieved and assessed for both network scenarios when cognitive relays are used and not used in the network. Simulation results show that there is a good performance on the energy efficiency of our proposed scheme compared to a traditional scheme.

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“…Authors of [30] have considered time allocation for a single frequency resource based scenario. The FC performs the resource allocation in order to maximize a global utility function, e.g., secondary network's throughput [22]- [24], [26], [27], [29], power consumption [28], and economy based utility function [25], [30] have been considered in literature. In this paper, we consider single frequency resource for a CSS based CR network, where the FC performs time allocation among SUs to maximize an economy based utility function.…”

mentioning

confidence: 99%

“…Based on the outcome of spectrum sensing, the FC decides whether to allocate available resources among SUs and allow SUs to use the licensed spectrum or not. In the context of resource allocation in opportunistic CR networks, we observe that people have considered either multiple frequency resources [21]- [29] or single frequency resource [30] for the primary network. In case of multiple frequency resources, people have considered frequency resource allocation [21], [27], frequency resource and power allocation [22]- [26], and time and energy allocation [29].…”

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confidence: 99%

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Optimal resource allocation in a price based opportunistic cognitive radio network

Biswas

Das

Ray

2018

2018 IEEE Wireless Communications and Networking Conference (WCNC)

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In this paper, a resource allocation problem for an opportunistic cooperative cognitive radio network is considered, where cognitive radio nodes send their hard decisions to the fusion center. The fusion center plays dual role, i.e., takes the global decision (i.e., decision about the primary user's activity) as well as allocates transmission time durations among cognitive radio nodes. Revenue based utility functions are considered at the fusion center and cognitive radio nodes. An optimization problem is formulated to maximize the fusion center's revenue while satisfying some well defined constraints. User selection among cognitive radio nodes is performed in order to make the optimization problem feasible.

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Optimal Hybrid Spectrum Sensing Under Control Channel Usage Constraint

Cited by 16 publications

References 38 publications

Secure Cooperative Spectrum Sensing Strategy Based on Reputation Mechanism for Cognitive Wireless Sensor Networks

Secure Cooperative Spectrum Sensing Strategy Based on Reputation Mechanism for Cognitive Wireless Sensor Networks

Energy Efficiency Under Double Deck Relay Assistance on Cluster Cooperative Spectrum Sensing in Hybrid Spectrum Sharing

Optimal resource allocation in a price based opportunistic cognitive radio network

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