Optimum Sensor Selection Based on Energy Constraints in Cooperative Spectrum Sensing for Cognitive Radio Sensor Networks

Monemian, Maryam; Mahdavi, Mehdi; Omidi, Mohammad Javad

doi:10.1109/jsen.2015.2503324

Cited by 37 publications

(34 citation statements)

References 48 publications

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“…Since the purpose of our proposed method is to provide energy efficiency, it sounds reasonable to use hard decision scheme instead of soft decision scheme. Similar assumption is made in other works …”

Section: Literature Reviewsupporting

confidence: 66%

“…In other work of Monemian et al, another sensor selection method for CSS is proposed. However, it is necessary to perform a considerable volume of computations to form all the desired subsets in the aforementioned works …”

Section: Literature Reviewmentioning

confidence: 99%

“…Each sensor estimates the energy amount consumed for participation in CSS, and if the estimated amount is larger than a threshold, it avoids participation. However, it is shown that not only the number of sensors chosen for CSS but also the way of choosing them affects the sensors and network battery lifetime . Moreover, considering the residual energy levels of sensors in the process of sensor selection for CSS is an important factor affecting the sensors and network lifetime while it is not considered in the work of Althunibat et al…”

Section: Literature Reviewmentioning

confidence: 99%

“…The SUs have no mobility and opportunistically use the spectrum originally dedicated to several PUs. The PUs have also fixed locations . The frequency spectrum is divided to L channels denoted by B l ( l = 1, …, L ) with equal bandwidth each of which belongs to one PU.…”

Section: System Modelmentioning

confidence: 99%

“…Therefore, a SU taking part in CSS consumes a nonnegligible amount of energy and time for CSS and consequently encounters more rapid drain of battery compared to those SUs not participating in CSS. In order to overcome the mentioned challenges, a number of research works have focused on the reduction of energy amount specifically consumed for CSS . In addition, in order to provide a green platform for CRNs, some of the existing researches proposed methods based on energy harvesting to enhance the battery lifetimes of CRNs .…”

Section: Introductionmentioning

confidence: 99%

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

Monemian

Mahdavi

Omidi

2018

Trans Emerging Tel Tech

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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.

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Section: Literature Reviewsupporting

confidence: 66%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Monemian

Mahdavi

Omidi

2018

Trans Emerging Tel Tech

Self Cite

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Autonomous Radios and Open Spectrum in Smart Cities

Cooke

Anderson

2017

Smart Cities

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

Yasrab

Kishore²,

Gurugopinath

2022

Trans Emerging Tel Tech

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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.

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Optimum Sensor Selection Based on Energy Constraints in Cooperative Spectrum Sensing for Cognitive Radio Sensor Networks

Cited by 37 publications

References 48 publications

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

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

Autonomous Radios and Open Spectrum in Smart Cities

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

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