On optimal sample checkpoint for energy efficient cooperative spectrum sensing

Cognitive Radio Sensor Networks (CRSNs) are wireless sensor networks implemented with cognitive radio capability to provide spectrum resources for sensors in an opportunistic manner. The application of CRSNs can be found in the paradigm of Internet of Things (IoT) where each sensor represents an object in the IoT paradigm. In order to prevent simultaneous transmissions of Primary Users (PUs) and CRSN nodes, sensors should be aware of the presence of PUs. One of the most common methods for making the sensors aware of the presence of PUs is consecutive spectrum sensing. Since the sensors have the duty of both sensing environment and transmitting the results, their battery lives are highly prone to rapid drain. In addition, the lack of effective management of sensor operations for spectrum sensing may lead to short longevity of the network. In this paper, the energy consumption process of sensors in such networks has been analyzed and an energy‐based algorithm is proposed to appropriately select sensors based on their detection probabilities for spectrum sensing. The analytical and numerical results confirm the improved lifetime and performance based on our proposed algorithm in comparison with the conventional ones. Moreover, the computational complexity of the proposed algorithm is significantly lower than that of the existing methods.

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving the lifetime of multichannel cognitive radio sensor networks via new spectrum sensing method

Monemian

Mahdavi

Omidi

2018

“…The existing policy of spectrum allocation works on static mode, where the available frequency spectra are divided into subbands. Each subband is exclusively assigned to the specific service provider, known as licensed user or primary user (PU) . However, based on the recent published reports of Federal Communications Commission in USA and few other regulatory bodies, eg, Office of Communications in UK, it is found that major portions of the allocated RF spectra are underutilized by the licensed users .…”

Section: Introductionmentioning

confidence: 99%

“…Each subband is exclusively assigned to the specific service provider, known as licensed user or primary user (PU) . However, based on the recent published reports of Federal Communications Commission in USA and few other regulatory bodies, eg, Office of Communications in UK, it is found that major portions of the allocated RF spectra are underutilized by the licensed users . Cognitive radio (CR) communication mitigates this spectrum underutilization problem by allowing the CR/secondary users (SUs) either to access the spectrum opportunistically (when PU is not transmitting) or share the same frequency band with PU subject to meeting its tolerable interference .…”

Section: Introductionmentioning

confidence: 99%

“…Cognitive radio (CR) communication mitigates this spectrum underutilization problem by allowing the CR/secondary users (SUs) either to access the spectrum opportunistically (when PU is not transmitting) or share the same frequency band with PU subject to meeting its tolerable interference . Research issues on CR include spectrum sensing (SS), spectrum sharing, spectrum management, spectrum mobility, and dynamic spectrum access . Among these, SS is key in CR system design as it provides SUs the information about PU's spectrum use and, consequently, the available spectrum for the use of SUs …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Joint cooperative spectrum sensing and primary user emulation attack detection in cognitive radio networks using fuzzy conditional entropy maximization

Banerjee

Maity

2019

Self Cite

Cooperative spectrum sensing (CSS) in cognitive radio system shows improved performance on spectrum sensing but, at the same time, faces a common threat called primary user emulation attack (PUEA) that impersonates the primary user (PU). This work explores joint PU and PUEA detection on CSS as a multiclass hypothesis using fuzzy conditional entropy maximization. To meet the goal, a multithreshold approach is suggested using a constrained differential evolution algorithm search to determine an optimal set of fuzzy function parameters, which maximizes the conditional entropy on the energy values. The proposed work also investigates the performance of CSS in presence of a group of malicious users (as PUEA), which generates signals and directly sends the same to the fusion center. Numerical results through simulation illustrate the efficacy of the proposed scheme in terms of both reliable PU detection in presence or absence of PUEA/malicious user and separate detection of falsifying PU and energy consumption in CSS. Simulation results show that the proposed scheme offers ∼17.54% and ∼39.39% higher detection probability of PU over the existing works in presence of PUEA.

Non‐orthogonal multiple access‐aided MIMO cognitive radio networks with selective reporting

Yasrab

Kishore²,

Gurugopinath

2022

In this article, we investigate the performances of conventional cooperative sensing (CCS)‐ and superior selective reporting (SSR)‐based cooperative sensing schemes in a multiple‐input, multiple‐output (MIMO)‐aided non‐orthogonal multiple access (NOMA)‐driven cognitive radio (CR) networks. First, we derive expressions for the probabilities of false‐alarm and signal detection for an optimal detector in the considered MIMO‐NOMA CR setup. Next, we study a constrained optimization problem that maximizes the sum rates of CCS and SSR schemes, with a constraint on the power allocation at SUs. This problem is shown to be a constrained convex optimization problem. Later, we analytically characterize and compare the sum rate performances of CCS and SSR schemes in MIMO‐NOMA CR and MIMO‐based orthogonal multiple access (MIMO‐OMA) CR networks. Extensive computer simulation results are presented which corroborate our analysis, which also quantifies the gain in performance of the proposed MIMO‐NOMA CR network employing SSR scheme when compared to conventional MIMO‐OMA CR systems. Furthermore, we present an experimental study based on RTL‐SDR setup, which supports our theory and also paves way towards a practical implementation of the proposed framework.