Energy-Efficient Resource Allocation Algorithm for CR-WSN-Based Smart Irrigation System under Realistic Scenarios

Cognitive radio wireless sensor networks (CR-WSNs) are a type of WSNs that use cognitive radio technology to enhance the spectrum utilization and energy efficiency. This paper proposes an energy-efficient resource allocation algorithm (EERAA) to prolong the lifetime of a WSN-based smart irrigation s...

Full description

Saved in:
Bibliographic Details
Published inAgriculture (Basel) Vol. 13; no. 6; p. 1149
Main Author Hassan, Emad S.
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2023
Subjects
agriculture
Algorithms
Bandwidths
cognition
Cognitive ability
Cognitive radio
Energy consumption
Energy efficiency
Energy management systems
Energy use
Environmental monitoring
Harvest
Interference
Internet of Things
Irrigation
Irrigation systems
Optimization techniques
radio
Radios
Rain
realistic scenarios
Resource allocation
Sensors
Smart cities
smart irrigation
Spectrum allocation
Unmanned aerial vehicles
Water conservation
Water shortages
Wireless communications
Wireless sensor networks
Online AccessGet full text
ISSN2077-0472
2077-0472
DOI10.3390/agriculture13061149

Cover

Abstract Cognitive radio wireless sensor networks (CR-WSNs) are a type of WSNs that use cognitive radio technology to enhance the spectrum utilization and energy efficiency. This paper proposes an energy-efficient resource allocation algorithm (EERAA) to prolong the lifetime of a WSN-based smart irrigation system under realistic scenarios. In the proposed algorithm, power allocation and subcarrier assignment are performed consecutively. Considering the impact of the intercarrier interference (ICI) caused by timing offset, the problem of maximizing network-averaged capacity is formulated considering power and interference constraints in realistic scenarios. The obtained results reveal that the proposed algorithm attempts to maximize the averaged capacity of the CR-WSN subject to the total power constraint and tolerable interference. Numerically, the proposed algorithm can reduce the network energy consumption by up to 30%, compared with conventional approaches, while maintaining a high level of system performance in terms of secondary users’ (SUs) averaged capacity.
AbstractList Cognitive radio wireless sensor networks (CR-WSNs) are a type of WSNs that use cognitive radio technology to enhance the spectrum utilization and energy efficiency. This paper proposes an energy-efficient resource allocation algorithm (EERAA) to prolong the lifetime of a WSN-based smart irrigation system under realistic scenarios. In the proposed algorithm, power allocation and subcarrier assignment are performed consecutively. Considering the impact of the intercarrier interference (ICI) caused by timing offset, the problem of maximizing network-averaged capacity is formulated considering power and interference constraints in realistic scenarios. The obtained results reveal that the proposed algorithm attempts to maximize the averaged capacity of the CR-WSN subject to the total power constraint and tolerable interference. Numerically, the proposed algorithm can reduce the network energy consumption by up to 30%, compared with conventional approaches, while maintaining a high level of system performance in terms of secondary users' (SUs) averaged capacity.
Audience Academic
Author Hassan, Emad S.
Author_xml – sequence: 1
  givenname: Emad S.
  orcidid: 0000-0002-1840-4244
  surname: Hassan
  fullname: Hassan, Emad S.
BookMark eNp9Uktv1DAQjlCRKKW_gEskLlxS_Ej8OC6rBVaqQOqCOEbOeBy8ysat7Rz232MahFCF8Bw8Gn3fN8-X1cUcZqyq15TccK7JOzNGD8uUl4iUE0Fpq59Vl4xI2ZBWsou__BfVdUpHUp6mXBFxWT3sZozjudk558HjnOs7TGGJgPVmmgKY7MNc3DFEn3-cahdivb1rvh8-N-9NQlsfTibmeh-jH1fs4ZwynuplthiLmJl8yh7qA-Bsog_pVfXcmSnh9e__qvr2Yfd1-6m5_fJxv93cNtAKkhtHQThGrFaDtc4Cl1xI7Jxxg7TEDgNaQajhUoNiAiRBpQgSgZ1wruOKX1X7VdcGc-zvoy-FnvtgfP8YCHHsS-UeJuyZHjrHO84HrlsqUFMAbhUOVmjgrCtab1et-xgeFky5P_kEOE1mxrCkniklBdUdYQX65gn0WMY5l04LimmhmeK6oG5W1GhKfj-7kKOBYhZPHsp-nS_xjexaLVnbkkLgKwFiSCmi-9MRJf2vM-j_cQaFpZ-wwOfHNZV0fvov9yc8R76R
CitedBy_id crossref_primary_10_1371_journal_pone_0300650
crossref_primary_10_3390_agriculture14081226
crossref_primary_10_3390_technologies12120248
crossref_primary_10_3390_w16050672
crossref_primary_10_1007_s11277_024_11695_y
crossref_primary_10_1002_dac_6111
crossref_primary_10_3390_agriculture14071141
Cites_doi 10.1155/2010/621808
10.1109/NetCIT57419.2022.00021
10.1109/iSES50453.2020.00019
10.1109/CCiCT56684.2022.00049
10.1109/SPAWC.2009.5161855
10.1109/ACCESS.2020.2981556
10.1049/iet-com.2018.5706
10.1007/s11277-023-10251-4
10.1109/MSP.2015.2481563
10.3390/agronomy13020342
10.1016/j.jfranklin.2018.10.028
10.1109/ACCESS.2017.2719704
10.1109/JSYST.2022.3171557
10.1109/ACCESS.2023.3235200
10.3390/electronics11131952
10.1201/b19273
10.1109/ICAIS56108.2023.10073799
10.1109/ISCCSP.2008.4537324
10.1109/ICOEI53556.2022.9777161
10.3390/app12094235
10.1155/2010/528378
10.1109/TWC.2016.2582876
10.3390/s23083875
10.1109/WCSP55476.2022.10039175
10.1109/IRASET52964.2022.9738345
10.1109/ACCESS.2018.2827022
10.1109/ICCCI54379.2022.9740842
10.1109/ACCESS.2022.3162288
10.1109/LSENS.2020.2994595
10.1109/TCCN.2022.3225165
10.3390/w15071394
10.3390/info14020075
ContentType Journal Article
Copyright COPYRIGHT 2023 MDPI AG
2023 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: COPYRIGHT 2023 MDPI AG
– notice: 2023 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
3V.
7SS
7ST
7T7
7X2
8FD
8FE
8FH
8FK
ABUWG
AEUYN
AFKRA
ATCPS
AZQEC
BENPR
BHPHI
C1K
CCPQU
DWQXO
FR3
HCIFZ
M0K
P64
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
SOI
7S9
L.6
DOA
DOI 10.3390/agriculture13061149
DatabaseName CrossRef
ProQuest Central (Corporate)
Entomology Abstracts (Full archive)
Environment Abstracts
Industrial and Applied Microbiology Abstracts (Microbiology A)
Agricultural Science Collection
Technology Research Database
ProQuest SciTech Collection
ProQuest Natural Science Collection
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest One Sustainability
ProQuest Central UK/Ireland
Agricultural & Environmental Science Collection
ProQuest Central Essentials
ProQuest Central
Natural Science Collection
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Central
Engineering Research Database
SciTech Premium Collection
Agricultural Science Database
Biotechnology and BioEngineering Abstracts
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Environment Abstracts
AGRICOLA
AGRICOLA - Academic
Directory of Open Access Journals (DOAJ)
DatabaseTitle CrossRef
Agricultural Science Database
Publicly Available Content Database
Technology Research Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Natural Science Collection
ProQuest Central China
Environmental Sciences and Pollution Management
ProQuest Central
ProQuest One Sustainability
Natural Science Collection
ProQuest Central Korea
Agricultural & Environmental Science Collection
Industrial and Applied Microbiology Abstracts (Microbiology A)
ProQuest Central (New)
ProQuest One Academic Eastern Edition
Agricultural Science Collection
ProQuest SciTech Collection
Biotechnology and BioEngineering Abstracts
Entomology Abstracts
ProQuest One Academic UKI Edition
Engineering Research Database
ProQuest One Academic
Environment Abstracts
ProQuest One Academic (New)
ProQuest Central (Alumni)
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList
Agricultural Science Database
CrossRef

AGRICOLA
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Agriculture
EISSN 2077-0472
ExternalDocumentID oai_doaj_org_article_29b5f3533b39416e91cc3d8ebd69c325
A754972440
10_3390_agriculture13061149
GroupedDBID 2XV
5VS
7X2
8FE
8FH
AAFWJ
AAHBH
AAYXX
ADBBV
AEUYN
AFKRA
AFPKN
ALMA_UNASSIGNED_HOLDINGS
ATCPS
BCNDV
BENPR
BHPHI
CCPQU
CITATION
GROUPED_DOAJ
HCIFZ
IAG
IAO
ITC
KQ8
M0K
MODMG
M~E
OK1
OZF
PHGZM
PHGZT
PIMPY
PROAC
PMFND
3V.
7SS
7ST
7T7
8FD
8FK
ABUWG
AZQEC
C1K
DWQXO
FR3
P64
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
SOI
7S9
L.6
PUEGO
ID FETCH-LOGICAL-c460t-f1c6f20d98bddfdc37367e5fafb7d0dbbed601a379c826c70e880e06e56ff5383
IEDL.DBID BENPR
ISSN 2077-0472
IngestDate Wed Aug 27 01:28:15 EDT 2025
Fri Sep 05 05:13:03 EDT 2025
Mon Jun 30 06:06:05 EDT 2025
Tue Jun 10 20:27:46 EDT 2025
Thu Apr 24 23:08:15 EDT 2025
Tue Jul 01 03:03:53 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 6
Language English
License https://creativecommons.org/licenses/by/4.0
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c460t-f1c6f20d98bddfdc37367e5fafb7d0dbbed601a379c826c70e880e06e56ff5383
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0002-1840-4244
OpenAccessLink https://www.proquest.com/docview/2829692839?pq-origsite=%requestingapplication%
PQID 2829692839
PQPubID 2032441
ParticipantIDs doaj_primary_oai_doaj_org_article_29b5f3533b39416e91cc3d8ebd69c325
proquest_miscellaneous_2887619502
proquest_journals_2829692839
gale_infotracacademiconefile_A754972440
crossref_primary_10_3390_agriculture13061149
crossref_citationtrail_10_3390_agriculture13061149
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2023-06-01
PublicationDateYYYYMMDD 2023-06-01
PublicationDate_xml – month: 06
  year: 2023
  text: 2023-06-01
  day: 01
PublicationDecade 2020
PublicationPlace Basel
PublicationPlace_xml – name: Basel
PublicationTitle Agriculture (Basel)
PublicationYear 2023
Publisher MDPI AG
Publisher_xml – name: MDPI AG
References Bochem (ref_6) 2022; 10
Dang (ref_19) 2022; 9
Hassan (ref_27) 2023; 129
ref_14
ref_10
ref_32
ref_31
Jedidi (ref_4) 2023; 11
ref_18
Shaat (ref_22) 2010; 2010
ref_17
ref_16
ref_15
Zhang (ref_26) 2010; 2010
Wang (ref_13) 2017; 5
Hashim (ref_21) 2019; 15
Lu (ref_33) 2018; 6
Filippou (ref_29) 2016; 15
Ning (ref_12) 2020; 8
Rezaie (ref_20) 2023; 17
Hassan (ref_28) 2019; 13
ref_25
ref_24
ref_23
Hong (ref_30) 2016; 33
ref_1
ref_3
Sarthi (ref_11) 2020; 4
ref_2
ref_8
ref_5
Hassan (ref_9) 2019; 356
ref_7
References_xml – volume: 2010
  start-page: 14
  year: 2010
  ident: ref_26
  article-title: Spectral Efficiency Comparison of OFDM/FBMC for Uplink Cognitive Radio Networks
  publication-title: EURASIP J. Adv. Signal Process.
  doi: 10.1155/2010/621808
– ident: ref_7
  doi: 10.1109/NetCIT57419.2022.00021
– ident: ref_14
  doi: 10.1109/iSES50453.2020.00019
– ident: ref_10
  doi: 10.1109/CCiCT56684.2022.00049
– ident: ref_32
  doi: 10.1109/SPAWC.2009.5161855
– volume: 8
  start-page: 58260
  year: 2020
  ident: ref_12
  article-title: Resource Allocation in Multi-User Cognitive Radio Network with Stackelberg Game
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.2981556
– volume: 13
  start-page: 1514
  year: 2019
  ident: ref_28
  article-title: New multiple-input multiple-output-based filter bank multicarrier structure for cognitive radio networks
  publication-title: IET Commun.
  doi: 10.1049/iet-com.2018.5706
– volume: 129
  start-page: 2653
  year: 2023
  ident: ref_27
  article-title: Reduced-Complexity Selective Mapping for Improving Wireless Communication in Smart Irrigation Systems
  publication-title: Wirel. Pers. Commun.
  doi: 10.1007/s11277-023-10251-4
– volume: 33
  start-page: 57
  year: 2016
  ident: ref_30
  article-title: A unified algorithmic framework for block-structured optimization involving big data: With applications in machine learning and signal processing
  publication-title: IEEE Signal Process. Mag.
  doi: 10.1109/MSP.2015.2481563
– ident: ref_1
  doi: 10.3390/agronomy13020342
– volume: 356
  start-page: 1640
  year: 2019
  ident: ref_9
  article-title: Adaptive Threshold to Guarantee both Detection and False Alarm Probabilities in Multi-taper-based Spectrum Sensing
  publication-title: J. Frankl. Inst.
  doi: 10.1016/j.jfranklin.2018.10.028
– volume: 5
  start-page: 17618
  year: 2017
  ident: ref_13
  article-title: Resource Allocation in Wireless Powered Cognitive Radio Networks Based on a Practical Non-Linear Energy Harvesting Model
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2017.2719704
– volume: 17
  start-page: 1137
  year: 2023
  ident: ref_20
  article-title: Achievable Rates and Resource Allocation for CDMA-Based Overlay Cognitive Radio With RF Energy Harvesting
  publication-title: IEEE Syst. J.
  doi: 10.1109/JSYST.2022.3171557
– volume: 11
  start-page: 4079
  year: 2023
  ident: ref_4
  article-title: Dual-Tier Cluster-Based Routing in Mobile Wireless Sensor Network for IoT Application
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2023.3235200
– ident: ref_25
  doi: 10.3390/electronics11131952
– ident: ref_15
  doi: 10.1201/b19273
– ident: ref_8
  doi: 10.1109/ICAIS56108.2023.10073799
– ident: ref_31
  doi: 10.1109/ISCCSP.2008.4537324
– ident: ref_18
  doi: 10.1109/ICOEI53556.2022.9777161
– ident: ref_2
  doi: 10.3390/app12094235
– volume: 15
  start-page: 1550147719851944
  year: 2019
  ident: ref_21
  article-title: Resource allocation in heterogeneous cognitive radio sensor networks
  publication-title: Int. J. Distrib. Sens. Netw.
– volume: 2010
  start-page: 528378
  year: 2010
  ident: ref_22
  article-title: Computationally Efficient Power Allocation Algorithm in Multicarrier-based Cognitive Radio Networks: OFDM and FBMC systems
  publication-title: EURASIP J. Adv. Signal Process.
  doi: 10.1155/2010/528378
– volume: 15
  start-page: 6321
  year: 2016
  ident: ref_29
  article-title: Joint Sensing and Reception Design of SIMO Hybrid Cognitive Radio Systems
  publication-title: IEEE Trans Wirel. Commun.
  doi: 10.1109/TWC.2016.2582876
– ident: ref_24
  doi: 10.3390/s23083875
– ident: ref_5
  doi: 10.1109/WCSP55476.2022.10039175
– ident: ref_17
  doi: 10.1109/IRASET52964.2022.9738345
– volume: 6
  start-page: 22480
  year: 2018
  ident: ref_33
  article-title: Joint Resource Allocation for Wireless Energy Harvesting Enabled Cognitive Sensor Networks
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2018.2827022
– ident: ref_16
  doi: 10.1109/ICCCI54379.2022.9740842
– volume: 10
  start-page: 33408
  year: 2022
  ident: ref_6
  article-title: Robustness Enhanced Sensor Assisted Monte Carlo Localization for Wireless Sensor Networks and the Internet of Things
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2022.3162288
– volume: 4
  start-page: 7500704
  year: 2020
  ident: ref_11
  article-title: Performance Impact of Hardware Impairments on Wireless Powered Cognitive Radio Sensor Networks
  publication-title: IEEE Sens. Lett.
  doi: 10.1109/LSENS.2020.2994595
– volume: 9
  start-page: 82
  year: 2022
  ident: ref_19
  article-title: Throughput Optimization for Noma Energy Harvesting Cognitive Radio With Multi-UAV-Assisted Relaying Under Security Constraints
  publication-title: IEEE Trans. Cogn. Commun. Netw.
  doi: 10.1109/TCCN.2022.3225165
– ident: ref_3
  doi: 10.3390/w15071394
– ident: ref_23
  doi: 10.3390/info14020075
SSID ssj0000913806
Score 2.2871597
Snippet Cognitive radio wireless sensor networks (CR-WSNs) are a type of WSNs that use cognitive radio technology to enhance the spectrum utilization and energy...
SourceID doaj
proquest
gale
crossref
SourceType Open Website
Aggregation Database
Enrichment Source
Index Database
StartPage 1149
SubjectTerms agriculture
Algorithms
Bandwidths
cognition
Cognitive ability
Cognitive radio
Energy consumption
Energy efficiency
Energy management systems
Energy use
Environmental monitoring
Harvest
Interference
Internet of Things
Irrigation
Irrigation systems
Optimization techniques
radio
Radios
Rain
realistic scenarios
Resource allocation
Sensors
Smart cities
smart irrigation
Spectrum allocation
Unmanned aerial vehicles
Water conservation
Water shortages
Wireless communications
Wireless sensor networks
SummonAdditionalLinks – databaseName: Directory of Open Access Journals (DOAJ)
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9QwELVQT3BAfIqFgoyExAWr3jix4-O22qog0QNLRW9W_FUObRbS7f_njZNdisTHhVuU2M5kMva858TPjL1BDgqqC1ok0yVR-9CKFmlexNb72GatZKbVyB9P9clZ_eG8Ob-11Rf9EzbKA4-OO6isb7ICKPHKAjwkOw9BxTb5qHGXqqiXSitvkakyBtu5aqUeZYYUeP1BdzFMYhYJw7YGDbC_pKKi2P-ncbkkm-MH7P6EEvlitO4hu5P6R-ze4mfjj9n3ZVm1J5ZFAwKpg29n4vnikjIUeRyHF2vQ_69XHOCUH30SX1an4hCZK_LVFR6evx-GIrKBsqN4OadVZQMaI2VE3J6vQupBqNfXT9jZ8fLz0YmY9k8QodZyI_I86FzJaFsfY45BGaVNanKXvYkyep8i6FinjA0gGcHIhM6cpE6NzhkDoXrK9vp1n54xHlGjMbVuMgBWAKqJXtepjaExc1_5OGPV1pUuTOLitMfFpQPJIP-73_h_xt7tKn0btTX-XvyQ3tGuKAljlxMIFzeFi_tXuMzYW3rDjrovDAzdtAoBj0lCWG5hQJgNMI-csf1tELipX187-u6sLSAZrHm9u4weSZ9Zuj6tb6hMS3NDjaye_w-LX7C7tMX9-HvaPtvbDDfpJYDQxr8qMf8D6uMJ9A
  priority: 102
  providerName: Directory of Open Access Journals
Title Energy-Efficient Resource Allocation Algorithm for CR-WSN-Based Smart Irrigation System under Realistic Scenarios
URI https://www.proquest.com/docview/2829692839
https://www.proquest.com/docview/2887619502
https://doaj.org/article/29b5f3533b39416e91cc3d8ebd69c325
Volume 13
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwELagvcAB8RSBUhkJiQtWvXH8yAntVlsVJFaoS0VvVvzaHtqkzW7_PzOJdysk6C1KJk5sz9v2N4R8AhvkReMVi7qJrHLeMANmngXjXDBJCZ7wNPKPhTo9r75fyIuccFvnbZVbnTgo6tB5zJEf4YqfqsEY1l9vbhlWjcLV1VxC4zHZBxVsgM_3Z_PFz7NdlgVRLw1XI9yQgPj-qFn1GdQigvpWEA7Uf5mkAbn_f_p5MDonz8mz7C3S6Ti9L8ij2L4kT6f3jb8it_Ph9B6bD1gQYELoNiNPp1doqXDk4XIFndlcXlNwUunxGfu9XLAZWLBAl9fAPfRb3w9gG0A7gphTPF3WQ2OIkAifp0sfWwisu_Vrcn4y_3V8ynIdBeYrxTcsTbxKJQ-1cSGk4IUWSkeZmuR04MG5GCAsa4SuPQQbXvMIQh25ilKlBApRvCF7bdfGt4QGeEPqSskEjpYH7yY4VUUTvNQTV7pQkHI7lNZnkHGsdXFlIdjA8bf_GP-CfNm9dDNibDxMPsM52pEiQPZwo-tXNsubLWsnkwBf1okafM5YT7wXwUQXFDBnKQvyGWfYohjDD_omn0aAbiIglp1qCJw1-D68IAdbJrBZvtf2nhsL8nH3GCQTl1uaNnZ3SGMwRyR5-e7hJt6TJ1jEftyAdkD2Nv1d_ACuzsYdZn4-HFIFfwBZdAQj
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6V9AAcEE9hKLBIIC6suvHaa_uAUFJSJbSNUNOK3lzvKxzauHVSIf4Uv5EZP1IhQW-9Rc56nczOzvfNrudbgHeIQUYWRnGXFI5H2qQ8RZjnNtXapl5J4aka-WCqxsfR15P4ZAN-d7Uw9FplFxPrQG1LQ2vk27TjpzIEw-zzxSWnU6Nod7U7QqNxiz336yembMtPky84vu_DcHd0tDPm7akC3ERKrLjvG-VDYbNUW-utkYlUiYt94XVihdXaWUxSCplkBqm3SYRDF3dCuVh5j-FBYr93YDOiitYebA5H02-H61UdUtlMhWrkjaTMxHYxr1oRDYdwoTD9yP6CwPqkgP_hQQ1yuw_hQctO2aBxp0ew4RaP4f7guvMncDmqqwX5qNaeQMhi3Q4AG5wRMtJI48c5Gm_145whKWY7h_z7bMqHiJiWzc7RW9mkqmpxD2zbiKYzqmarsDNSZMTHs5lxC0zky-VTOL4VCz-D3qJcuOfALN4RJ5GKPRI7g2zKahW51Jo46etQ2wDCzpS5aUXN6WyNsxyTG7J__g_7B_BxfdNFo-lxc_MhjdG6KQly1xfKap638zsPMx17idxZyww5rsv6xkibOm0VToYwDuADjXBOYQN_oCna6gf8myTAlQ8STNQT5FoigK3OCfI2nizza-8P4O36a4wEtL1TLFx5RW1SWpOKRfji5i7ewN3x0cF-vj-Z7r2EeyHStublty3oraor9wpp1kq_bn2bweltT6c_k11B4Q
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6VVEJwQDyFocAigbiwiuO1d-0DQkmbqKEQVQ0VvRnvKxzauHVSIf4av44ZP1IhQW-9Rcl6k8zOzDezu_MNwBvEICMKI7lTheOxNilPEea5TbW2qZci9FSN_GUm94_jTyfJyRb87mph6Fpl5xNrR21LQ3vkfTrxkxmCYdb37bWIw73Jx_MLTh2k6KS1a6fRqMiB-_UT07fVh-kervXbKJqMv-7u87bDADexDNfcD4z0UWizVFvrrRFKSOUSX3itbGi1dhYTlkKozGAYblToUN1dKF0ivUdXIXDeW7CtEBXjHmyPxrPDo80ODzFupqFsqI6EyMJ-sahaQg2H0CExFcn-gsO6a8D_sKEGvMl9uNdGqmzYqNYD2HLLh3B3eDX5I7gY15WDfFzzUCB8se40gA1PCSVp1fHlAoW3_nHGMEBmu0f823zGR4iels3PUHPZtKpqog8c2xCoM6psq3AyYmfEr2dz45aY1Jerx3B8IxJ-Ar1luXRPgVl8IlGxTDwGeQYjK6tl7FJrEjXQkbYBRJ0oc9MSnFOfjdMcEx2Sf_4P-QfwfvPQecPvcf3wEa3RZiiRc9dvlNUib209jzKdeIFxtBYZxrsuGxgjbOq0lWgYURLAO1rhnFwI_kBTtJUQ-DeJjCsfKkzaFcZdYQA7nRLkrW9Z5VeWEMDrzcfoFeiop1i68pLGpLQ_lYTRs-uneAW30Yzyz9PZwXO4E2EE19yD24Heurp0LzDiWuuXrWoz-H7T1vQHB6hGDQ
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Energy-Efficient+Resource+Allocation+Algorithm+for+CR-WSN-Based+Smart+Irrigation+System+under+Realistic+Scenarios&rft.jtitle=Agriculture+%28Basel%29&rft.au=Hassan%2C+Emad+S&rft.date=2023-06-01&rft.pub=MDPI+AG&rft.eissn=2077-0472&rft.volume=13&rft.issue=6&rft.spage=1149&rft_id=info:doi/10.3390%2Fagriculture13061149&rft.externalDBID=HAS_PDF_LINK
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2077-0472&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2077-0472&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2077-0472&client=summon