dc.contributor.author |
Ogbodo, EU
|
|
dc.contributor.author |
Dorrell, DG
|
|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
|
|
dc.date.accessioned |
2021-03-15T15:41:02Z |
|
dc.date.available |
2021-03-15T15:41:02Z |
|
dc.date.issued |
2021-01 |
|
dc.identifier.citation |
Ogbodo, E., Dorrell, D. & Abu-Mahfouz, A.M. 2021. Radio resource allocation improvements in cognitive radio sensor network for smart grid: Investigative study and solutions. <i>International Journal of Sensors, Wireless Communications and Control, 11.</i> http://hdl.handle.net/10204/11898 |
en_ZA |
dc.identifier.issn |
2210-3279 |
|
dc.identifier.issn |
2210-3287 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/11898
|
|
dc.description.abstract |
Background: A cognitive radio sensor network (CRSN)-based Smart Grid (SG) is a new paradigm for a modern SG. It is totally different from the traditional power grid and conventional SG. Currently, an SG uses a static resource allocation technique to allocate resources to sensor nodes in the SG network. Static resource allocation is not efficient due to the heterogeneous nature of CRSN-based SGs. Hence, an appropriate mechanism such as dynamic radio resource allocation (RRA) is required for efficient resource allocation in CRSNs for SGs. Objective: The objective of this paper is to investigate and propose suitable dynamic RRA for efficient resource allocation in CRSNs-based SGs. This involves a proposal for appropriate strategy that will address poor throughput and excessive errors in resource allocation. Methods: In this paper, the dynamic RRA approach is used to allocate resources such as frequency, energy, channels and spectrum to the sensor nodes. This is because of the heterogeneity in a CRSN which differs for SG applications. The dynamic RRA approach is based on optimization of resource allocation criteria such as energy efficiency, throughput maximization, QoS guarantee, etc. The methods include an introduced model called “guaranteed network connectivity channel allocation for throughput maximization” (GNC-TM). Also used, is an optimal spectrum-band determination in RRA for improved throughput. Results: The results show that the model outperforms the existing protocol of channel allocation in terms of throughput and error probability. Conclusion: This study explores RRA schemes for CRSNs for SGs. The paper proposed a GNC-TM model, including demonstration of suitable spectrum band operation in CRSNs for SGs. |
en_US |
dc.format |
Fulltext |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
DOI : 10.2174/1872212115999201125123708 untranslated |
en_US |
dc.relation.uri |
https://www.eurekaselect.com/search/aws_search.php?searchvalue=radio%20resource&select_search_mode=basic_search untranslated |
en_US |
dc.relation.uri |
https://benthamscience.com/journals/international-journal-of-sensors-wireless-communications-and-control/epub-ahead-of-print/ |
en_US |
dc.relation.uri |
https://www.preprints.org/manuscript/201911.0272/v1 untranslated |
en_US |
dc.source |
International Journal of Sensors, Wireless Communications and Control, 11 |
en_US |
dc.subject |
Adaptive modulation |
en_US |
dc.subject |
Cognitive Radio Sensor Network |
en_US |
dc.subject |
CRSN |
en_US |
dc.subject |
Radio Resource Allocation |
en_US |
dc.subject |
RRA |
en_US |
dc.subject |
Smart grid |
en_US |
dc.subject |
Distributed Heterogeneous Clustered |
en_US |
dc.subject |
DHC |
en_US |
dc.subject |
Dynamic radio |
en_US |
dc.subject |
Guaranteed network connectivity |
en_US |
dc.subject |
Probability of false alarm |
en_US |
dc.title |
Radio resource allocation improvements in cognitive radio sensor network for smart grid: Investigative study and solutions |
en_US |
dc.type |
Article |
en_US |
dc.description.pages |
11 |
en_US |
dc.description.note |
Due to copyright restrictions, the attached PDF file only contains the preprint of the published version. For access to the published version, please consult the publisher's website: https://www.eurekaselect.com/search/aws_search.php?searchvalue=radio%20resource&select_search_mode=basic_search |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.identifier.apacitation |
Ogbodo, E., Dorrell, D., & Abu-Mahfouz, A. M. (2021). Radio resource allocation improvements in cognitive radio sensor network for smart grid: Investigative study and solutions. <i>International Journal of Sensors, Wireless Communications and Control, 11</i>, http://hdl.handle.net/10204/11898 |
en_ZA |
dc.identifier.chicagocitation |
Ogbodo, EU, DG Dorrell, and Adnan MI Abu-Mahfouz "Radio resource allocation improvements in cognitive radio sensor network for smart grid: Investigative study and solutions." <i>International Journal of Sensors, Wireless Communications and Control, 11</i> (2021) http://hdl.handle.net/10204/11898 |
en_ZA |
dc.identifier.vancouvercitation |
Ogbodo E, Dorrell D, Abu-Mahfouz AM. Radio resource allocation improvements in cognitive radio sensor network for smart grid: Investigative study and solutions. International Journal of Sensors, Wireless Communications and Control, 11. 2021; http://hdl.handle.net/10204/11898. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Ogbodo, EU
AU - Dorrell, DG
AU - Abu-Mahfouz, Adnan MI
AB - Background: A cognitive radio sensor network (CRSN)-based Smart Grid (SG) is a new paradigm for a modern SG. It is totally different from the traditional power grid and conventional SG. Currently, an SG uses a static resource allocation technique to allocate resources to sensor nodes in the SG network. Static resource allocation is not efficient due to the heterogeneous nature of CRSN-based SGs. Hence, an appropriate mechanism such as dynamic radio resource allocation (RRA) is required for efficient resource allocation in CRSNs for SGs. Objective: The objective of this paper is to investigate and propose suitable dynamic RRA for efficient resource allocation in CRSNs-based SGs. This involves a proposal for appropriate strategy that will address poor throughput and excessive errors in resource allocation. Methods: In this paper, the dynamic RRA approach is used to allocate resources such as frequency, energy, channels and spectrum to the sensor nodes. This is because of the heterogeneity in a CRSN which differs for SG applications. The dynamic RRA approach is based on optimization of resource allocation criteria such as energy efficiency, throughput maximization, QoS guarantee, etc. The methods include an introduced model called “guaranteed network connectivity channel allocation for throughput maximization” (GNC-TM). Also used, is an optimal spectrum-band determination in RRA for improved throughput. Results: The results show that the model outperforms the existing protocol of channel allocation in terms of throughput and error probability. Conclusion: This study explores RRA schemes for CRSNs for SGs. The paper proposed a GNC-TM model, including demonstration of suitable spectrum band operation in CRSNs for SGs.
DA - 2021-01
DB - ResearchSpace
DP - CSIR
J1 - International Journal of Sensors, Wireless Communications and Control, 11
KW - Adaptive modulation
KW - Cognitive Radio Sensor Network
KW - CRSN
KW - Radio Resource Allocation
KW - RRA
KW - Smart grid
KW - Distributed Heterogeneous Clustered
KW - DHC
KW - Dynamic radio
KW - Guaranteed network connectivity
KW - Probability of false alarm
LK - https://researchspace.csir.co.za
PY - 2021
SM - 2210-3279
SM - 2210-3287
T1 - Radio resource allocation improvements in cognitive radio sensor network for smart grid: Investigative study and solutions
TI - Radio resource allocation improvements in cognitive radio sensor network for smart grid: Investigative study and solutions
UR - http://hdl.handle.net/10204/11898
ER - |
en_ZA |
dc.identifier.worklist |
24306 |
en_US |