dc.contributor.author |
Ogbodo, E
|
|
dc.contributor.author |
Dorrell, D
|
|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
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|
dc.date.accessioned |
2021-10-07T07:02:08Z |
|
dc.date.available |
2021-10-07T07:02:08Z |
|
dc.date.issued |
2021-07 |
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dc.identifier.citation |
Ogbodo, E., Dorrell, D. & Abu-Mahfouz, A.M. 2021. Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid. <i>17(7).</i> http://hdl.handle.net/10204/12122 |
en_ZA |
dc.identifier.issn |
1550-1477 |
|
dc.identifier.issn |
1550-1329 |
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dc.identifier.uri |
https://doi.org/10.1177/15501477211028399
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/12122
|
|
dc.description.abstract |
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. |
en_US |
dc.format |
Fulltext |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://journals.sagepub.com/doi/full/10.1177/15501477211028399 |
en_US |
dc.source |
17(7) |
en_US |
dc.subject |
Bit error rate |
en_US |
dc.subject |
Distributed heterogeneous cluster |
en_US |
dc.subject |
Equilateral triangulation |
en_US |
dc.subject |
Network connectivity degree |
en_US |
dc.subject |
Quality of service |
en_US |
dc.subject |
Smart grid |
en_US |
dc.subject |
Superframe structure order |
en_US |
dc.subject |
ZigBee cognitive radio sensor network |
en_US |
dc.title |
Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid |
en_US |
dc.type |
Article |
en_US |
dc.description.pages |
19 |
en_US |
dc.description.note |
Copyright: The Author(s) 2021. Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
EDTRC Management |
en_US |
dc.identifier.apacitation |
Ogbodo, E., Dorrell, D., & Abu-Mahfouz, A. M. (2021). Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid. <i>17(7)</i>, http://hdl.handle.net/10204/12122 |
en_ZA |
dc.identifier.chicagocitation |
Ogbodo, E, D Dorrell, and Adnan MI Abu-Mahfouz "Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid." <i>17(7)</i> (2021) http://hdl.handle.net/10204/12122 |
en_ZA |
dc.identifier.vancouvercitation |
Ogbodo E, Dorrell D, Abu-Mahfouz AM. Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid. 17(7). 2021; http://hdl.handle.net/10204/12122. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Ogbodo, E
AU - Dorrell, D
AU - Abu-Mahfouz, Adnan MI
AB - 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.
DA - 2021-07
DB - ResearchSpace
DP - CSIR
J1 - 17(7)
KW - Bit error rate
KW - Distributed heterogeneous cluster
KW - Equilateral triangulation
KW - Network connectivity degree
KW - Quality of service
KW - Smart grid
KW - Superframe structure order
KW - ZigBee cognitive radio sensor network
LK - https://researchspace.csir.co.za
PY - 2021
SM - 1550-1477
SM - 1550-1329
T1 - Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid
TI - Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid
UR - http://hdl.handle.net/10204/12122
ER -
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en_ZA |
dc.identifier.worklist |
24958 |
en_US |