Performance analysis of correlated multi-channels in cognitive radio sensor network based smart grid

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

doi:10.1109/afrcon.2017.8095721

Cited by 15 publications

(10 citation statements)

References 30 publications

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“…Thus, ZigBee CRSN systems use an adaptive modulation schemes so as to take into account the difference in channel conditions. 53 The adaptive modulation varies transmission parameters such as power, data rate, and modulation technique. Hence, adaptive CR technologies will help to achieve interference-free networks as well as spectral efficiency 54,55 during data frame transmission.…”

Section: Edhc-sa Multichannel Sensing Coverage Modelmentioning

confidence: 99%

Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid

Ogbodo

Dorrell

Abu‐Mahfouz

2021

International Journal of Distributed Sensor Networks

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The development of a modern electric power grid has triggered the need for large-scale monitoring and communication in smart grids for efficient grid automation. This has led to the development of smart grids, which utilize cognitive radio sensor networks, which are combinations of cognitive radios and wireless sensor networks. Cognitive radio sensor networks can overcome spectrum limitations and interference challenges. The implementation of dense cognitive radio sensor networks, based on the specific topology of smart grids, is one of the critical issues for guaranteed quality of service through a communication network. In this article, various topologies of ZigBee cognitive radio sensor networks are investigated. Suitable topologies with energy-efficient spectrum-aware algorithms of ZigBee cognitive radio sensor networks in smart grids are proposed. The performance of the proposed ZigBee cognitive radio sensor network model with its control algorithms is analyzed and compared with existing ZigBee sensor network topologies within the smart grid environment. The quality of service metrics used for evaluating the performance are the end-to-end delay, bit error rate, and energy consumption. The simulation results confirm that the proposed topology model is preferable for sensor network deployment in smart grids based on reduced bit error rate, end-to-end delay (latency), and energy consumption. Smart grid applications require prompt, reliable, and efficient communication with low latency. Hence, the proposed topology model supports heterogeneous cognitive radio sensor networks and guarantees network connectivity with spectrum-awareness. Hence, it is suitable for efficient grid automation in cognitive radio sensor network–based smart grids. The traditional model lacks these capability features.

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Section: Edhc-sa Multichannel Sensing Coverage Modelmentioning

confidence: 99%

Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid

Ogbodo

Dorrell

Abu‐Mahfouz

2021

International Journal of Distributed Sensor Networks

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“…Wireless networks are regulated by a spectrum assignment and management policy, which assigns spectrum to license holders for time periods within large geographical regions. This fixed assignment underutilizes spectrum with utilization levels that range from 15% to 85% …”

Section: Introductionmentioning

confidence: 99%

“…Cognitive radio (CR) has the capability in accessing spectrum opportunistically via dynamic spectrum access (DSA). This is a promising option to solve the problems of spectrum inefficiencies and interference . Hence, integration of cognitive radio sensor networks (CRSNs), which involve a combination of CR and WSNs in SGs, will help to address the spectrum inefficiencies issue …”

Section: Introductionmentioning

confidence: 99%

“…This fixed assignment underutilizes spectrum with utilization levels that range from 15% to 85%. 14,15 Cognitive radio (CR) has the capability in accessing spectrum opportunistically via dynamic spectrum access (DSA). This is a promising option to solve the problems of spectrum inefficiencies and interference.…”

mentioning

confidence: 99%

“…This is a promising option to solve the problems of spectrum inefficiencies and interference. 14,[16][17][18] Hence, integration of cognitive radio sensor networks (CRSNs), which involve a combination of CR and WSNs in SGs, will help to address the spectrum inefficiencies issue. 8 In the CR paradigm, primary users (PUs) are users who have authorized rights on the usage of portion of the spectrum.…”

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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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Generic MGF‐based tight approximation for the error rate analysis

Singh

Kumar²,

Pandey

et al. 2022

Int J Communication

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The moment generating function (MGF)-based approach is found as more profound as compared with probability density function (PDF)-based counterpart for error rate analysis in any communication system. However, it fails in the case of several modulation schemes with constellation size M, such as M-PSK, M-QAM, and M-PAM schemes among the others, due to the computational complexity of the involved integration. Though authors in the literature suggest alternate analytical expressions to overcome the problem it is solved only for M-PSK and M-QAM schemes. Hence, we present a generic MGF-based tight approximation for the error rate analysis of different modulation schemes. Particularly, error rate analysis of M-PAM, M-AM, B-PSK, B-FSK, and orthogonal B-FSK with non-coherent (Non-Co) detection modulation schemes are presented through known MGF based expressions without the evaluation of any integration. Also, a simple analytical expression for the M-QAM modulation scheme is presented. Besides, the proposed MGF-based analytical expressions are used to evaluate the error rate of M-PSK, M-PAM, and M-AM modulation schemes over the generalized-K (GK) fading channel, which is not presented in literature due to the computational complexity of involved integration. Newly, derived analytical expressions are validated through Monte Carlo simulation. The graphical results show the validity and accuracy of the proposed unified MGF-based analytical expressions for error rate analysis of different modulation schemes over kμ-gamma and GK fading channels, respectively.

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Performance analysis of correlated multi-channels in cognitive radio sensor network based smart grid

Cited by 15 publications

References 30 publications

Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid

Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid

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

Generic MGF‐based tight approximation for the error rate analysis

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