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dc.contributor.author Ogbodo, EU
dc.contributor.author Dorrell, DG
dc.contributor.author Abu-Mahfouz, Adnan MI
dc.date.accessioned 2019-08-28T07:32:21Z
dc.date.available 2019-08-28T07:32:21Z
dc.date.issued 2019-03
dc.identifier.citation Ogbodo, E.U., Dorrell, D.G. & Abu-Mahfouz, A.M.I. 2019. Improved resource allocation and network connectivity in CRSN based smart grid for efficient grid automation. In: Conference on Information Communications Technology and Society (ICTAS), Durban, South Africa, 6-8 March 2019 en_US
dc.identifier.isbn 978-1-5386-7365-2
dc.identifier.isbn 978-1-5386-7366-9
dc.identifier.uri DOI: 10.1109/ICTAS.2019.8703608
dc.identifier.uri https://ieeexplore.ieee.org/document/8703608
dc.identifier.uri http://hdl.handle.net/10204/11108
dc.description Presented in: 2019 Conference on Information Communications Technology and Society (ICTAS), 6-8 March 2019. Due to copyright restrictions, the attached PDF file contains the abstract of the full-text item. For access to the full-text item, please consult the publisher's website. en_US
dc.description.abstract The conventional smart grid (SG) uses static radio resource allocation (RRA) techniques to allocate resources to sensor nodes and communication devices in the SG network. Cognitive radio sensor Networks (CRSNs) based SGs uses dynamic RRA for resource allocation to CRSN nodes. However, the challenges associated with sensor nodes in an SG network are: energy or power constraints; poor quality of service (QoS); interference; delay; and problem of spectrum inefficiency. Thus, improvements in resource allocation criteria, such as energy efficiency, appreciable throughput, QoS guarantee, fairness, priority, interference mitigation, etc., will help in circumventing these problems in CRSN-based SGs. Hence, in this work, a new topology and algorithm for improved RRA and QoS guaranteed network connectivity in CRSN-based SGs are proposed. Bit error probability and latency are the metrics used for the investigation of the improved RRA and guaranteed network. The simulation result confirms that the improved model has a very low latency and low error rate at a given signal-to-noise ratio (SNR) compare to the conventional sensor network which has high latency and high error rate at a given SNR. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Workflow;22627
dc.subject Bit error probability en_US
dc.subject CRSN en_US
dc.subject Equilateral Triangulation Algorithm en_US
dc.subject ETA en_US
dc.subject Opportunistic spectrum access en_US
dc.subject OSA en_US
dc.subject Smart Grid en_US
dc.subject Voronoi diagram en_US
dc.subject Cognitive radio sensor Networks en_US
dc.title Improved resource allocation and network connectivity in CRSN based smart grid for efficient grid automation en_US
dc.type Presentation en_US


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