Cognitive Radio Based Sensor Network in Smart Grid: Architectures, Applications and Communication Technologies

Ogbodo, Emmanuel U.; Dorrell, David G.; Abu‐Mahfouz, Adnan M.

doi:10.1109/access.2017.2749415

Cited by 80 publications

(53 citation statements)

References 83 publications

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“…For example, Saad et al have developed an interesting prototype of a CR based industrial process field‐bus to improve communication in automated factory processes. Successful designs such as in the aforementioned work affirm the viability of CR for use within different IWSN‐based applications, for example, in cyber‐physical systems, low‐power wide area networks, smart grids, tele‐intensive care units, smart metering, and smart city applications …”

Section: Introductionmentioning

confidence: 72%

Histogram partitioning algorithms for adaptive and autonomous threshold estimation in cognitive radio–based industrial wireless sensor networks

Onumanyi

Abu‐Mahfouz

Hancke

2019

Trans Emerging Tel Tech

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Modern energy detectors typically use adaptive threshold estimation algorithms to improve signal detection in cognitive radio–based industrial wireless sensor networks (CR‐IWSNs). However, a number of adaptive threshold estimation algorithms often perform poorly under noise uncertainty conditions since they are typically unable to auto‐adapt their parameter values per changing spectra conditions. Consequently, in this paper, we have developed two new algorithms to accurately and autonomously estimate threshold values in CR‐IWSNs under dynamic spectra conditions. The first algorithm is a parametric‐based technique termed the histogram partitioning algorithm, whereas the second algorithm is a fully autonomous variant termed the mean‐based histogram partitioning algorithm. We have evaluated and compared both algorithms with some well‐known methods under different CR sensing conditions. Our findings indicate that both algorithms maintained over 90% probability of detection in both narrow and wideband sensing conditions and less than 10% probability of false alarm under noise‐only conditions. Both algorithms are quick and highly scalable with a time complexity of O(V), where V is the total number of input samples. The simplicity, effectiveness, and viability of both algorithms make them typically suited for use in CR‐IWSN applications.

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Section: Introductionmentioning

confidence: 72%

Histogram partitioning algorithms for adaptive and autonomous threshold estimation in cognitive radio–based industrial wireless sensor networks

Onumanyi

Abu‐Mahfouz

Hancke

2019

Trans Emerging Tel Tech

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“…Hence, an efficient and reliable communication network is the foundation of a smart electrical power grid. Reliable bidirectional communication between homes and the utility control center is required for efficient functioning of the load management …”

Section: Introductionmentioning

confidence: 99%

“…Monitoring and control of the electrical power grid depends on low‐delay delivery of real‐time data . In addition, the issue of interoperability due to multiple interconnection communication technologies at different parts of the SG poses a challenge.…”

Section: Introductionmentioning

confidence: 99%

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Performance measurements of communication access technologies and improved cognitive radio model for smart grid communication

Ogbodo

Dorrell

Abu‐Mahfouz

2019

Trans Emerging Tel Tech

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Traditional power grids have unidirectional power flow and often information transfer, this limits their capacity for scalability, efficiency, and renewable energy integration. Smart grids (SGs) are being developed as more intelligent power grids with bidirectional power flow and information interchange. A reliable communication network is required in order to realize some important SG features, such as renewable energy integration, distributed energy resources, scalability, self‐healing and efficient holistic monitoring, and control capability. However, this communication network needs to comply with critical requirements. Cognitive radio (CR) has been projected as a possible solution to common problems in conventional wireless systems such as spectrum scarcity and interference. The CR accesses a greater range of spectra via dynamic spectrum access capability. This paper focuses on the evaluation of communication access technologies performance measurements and improved CR model for SG communications. This paper employs the National Institute of Standard framework for SG interoperability, the low power wide area network (LPWAN), multihoming, and a CR device such as TV white space band devices (TVBDs). The results from simulation analysis show that the performance of TVBDs outperforms the legacy Wi‐Fi in terms of latency; also, LPWA devices, such as LTE Cat1/LTE‐M devices, outperform the legacy cellular, such as CDMA 1x‐EVDO, in terms of latency and throughput. In addition, the improved CR model, which involves a proposed channel fragmentation strategy–based Alamouti scheme, outperforms legacy CR in terms of blocking probability and throughput in the harsh SG environment.

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“…Currently, cognitive radio networks have acquired an essential role in the development of communications, it has been demonstrated the use of cognitive radio in different areas of study such as smart grid [1], television [2], wireless communications [3], and the internet of things [4]. The limited available spectrum and the inefficiency using of the spectrum have become one of the current problems in wireless networks.…”

Section: Introductionmentioning

confidence: 99%

New Approaches in Cognitive Radios using Evolutionary Algorithms

Tuberquia¹,

Hernández²

2018

IJECE

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Cognitive radio has claimed a promising technology to exploit the spectrum in an ad hoc network. Due many techniques have become a topic of discussion on cognitive radios, the aim of this paper was developed a contemporary survey of evolutionary algorithms in Cognitive Radio. According to the art state, this work had been collected the essential contributions of cognitive radios with the particularity of base they research in evolutionary algorithms. The main idea was classified the evolutionary algorithms and showed their fundamental approaches. Moreover, this research will be exposed some of the current issues in cognitive radios and how the evolutionary algorithms will have been contributed. Therefore, current technologies have matters presented in optimization, learning, and classification over cognitive radios where evolutionary algorithms can be presented big approaches. With a more comprehensive and systematic understanding of evolutionary algorithms in cognitive radios, more research in this direction may be motivated and refined.

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Cognitive Radio Based Sensor Network in Smart Grid: Architectures, Applications and Communication Technologies

Cited by 80 publications

References 83 publications

Histogram partitioning algorithms for adaptive and autonomous threshold estimation in cognitive radio–based industrial wireless sensor networks

Histogram partitioning algorithms for adaptive and autonomous threshold estimation in cognitive radio–based industrial wireless sensor networks

Performance measurements of communication access technologies and improved cognitive radio model for smart grid communication

New Approaches in Cognitive Radios using Evolutionary Algorithms

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