Joint Optimal Sensor Selection and Scheduling in Dynamic Spectrum Access Networks

Min, Alexander W.; Shin, Kang G.

doi:10.1109/tmc.2012.116

Cited by 19 publications

(11 citation statements)

References 46 publications

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“…In order to reduce energy consumption for CSS, some research works suggest that not all sensors participate in CSS . However, not only the number of sensors engaged in CSS but also the method of sensor selection affects the network lifetime.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Sensors should periodically sense all channels at the beginning of each frame to become aware of the presence of PUs. In order to make reliable decisions regarding the presence of PU, CSS is performed by a number of sensors at the start of each frame over each channel . For simplicity, we assume that OR rule is used in FC for the combination of received decisions about the presence of PU on each channel …”

Section: System Modelmentioning

confidence: 99%

“…Note that it is not necessary for all sensors to participate in CSS over an arbitrary channel . This is because the desired detection probability may be satisfied by the participation of only a number of sensors.…”

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 Reviewmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

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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“…power spectrum density. According to [5], for large N, test statistic can be approximated to Gaussian distribution as,…”

Section: Energy Detectionmentioning

confidence: 99%

Primary and secondary identification using energy detection with statistical primary information

Southivong

Fujii

2015

2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)

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In cognitive Radio, Energy Detection(ED) is the easiest method to detect idle spectrum due to the simple implementation. However, it is difficult to identify the transmitter when several systems are sharing the spectrum in the same time. In order to improve the spectrum utilization, the spectrum shared by the secondary users may be detected as idle spectrum with keeping the detection performance of primary system. In this paper, we propose an identified primary sensing method by using cooperative sensing of ED and statistical information of primary. In system model, status of PU can be OFF and ON. Furthermore, SU can also share the spectrum while gives no interference to PU. In the proposed algorithm, we exploit the statistical information database, in which the average received power of primary system has been restored, and real-time observed power at surrounding sensing nodes to detect the recent test statistic. Our proposed algorithm is validated by computer simulation and results showed that in coexisting environment of primary and secondary systems, cognitive radio user can accurately detect the primary system under the existence of the secondary system.

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Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

Gupta

Dhurandher

2019

Int J Communication

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Summary With the advent of various emerging wireless products, the usage of limited spectrum has grown exponentially in the recent years. In the next few years, that mobile data traffic globally is expected to grow up to 50 EB/month, which is nearly a five times increase over year 2018. Therefore, it will become extremely difficult to satisfy the ever increasing demand through the current fixed spectrum assignment policy in which spectrum band is exclusively used for the particular applications, and it has also led to underutilization of a significant portion of the spectrum (like TV bands). Cognitive radio networks has emerged as a possible solution for the problem which makes dynamic spectrum access possible for unlicensed user when licensed user is not active. Among various operations of cognitive radio, channel assignment to the unlicensed user is very important. Further, wireless regional area network is one of the most important application of cognitive radio, which provides wireless broadband to the rural area using vacant TV channels. This paper discusses channel assignment techniques considering various functionalities for cognitive radio networks in respect of wireless regional area network in the existing literature. Initially, a comprehensive introduction to both cognitive radio networks and wireless regional area networks is provided, and in the end, the paper summarizes the various issues and research challenges in the channel assignment for wireless regional area networks.

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Joint Optimal Sensor Selection and Scheduling in Dynamic Spectrum Access Networks

Cited by 19 publications

References 46 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

Primary and secondary identification using energy detection with statistical primary information

Cross‐layer perspective for channel assignment in cognitive radio networks: A survey

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