Optimal Cooperative MAC Strategies for Wireless VANETs With Multiple Roadside Units

This paper presents an optimization approach for cooperative Medium Access Control (MAC) techniques in Vehicular Ad Hoc Networks (VANETs) equipped with multiple Roadside Units (RSUs) to enhance network throughput. We propose a distributed cooperative MAC scheme based on the Carrier Sense Multiple Ac...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on vehicular technology Jg. 74; H. 1; S. 877 - 893
Hauptverfasser: Zhang, Zhou, Atapattu, Saman, Wang, Yizhu, Sun, Sumei, Sithamparanathan, Kandeepan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.01.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
ISSN:0018-9545, 1939-9359
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract This paper presents an optimization approach for cooperative Medium Access Control (MAC) techniques in Vehicular Ad Hoc Networks (VANETs) equipped with multiple Roadside Units (RSUs) to enhance network throughput. We propose a distributed cooperative MAC scheme based on the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocol. It integrates selective multi-RSUs probing and adaptive transmission, using a dual timescale channel access framework accounting for vehicle positions and channel fading. This framework divides the channel access into two phases: a large-scale phase that accounts for gradual changes in vehicle locations and a small-scale phase that adapts to rapid channel fluctuations. In each large-scale phase, we examine the MAC problem with a snapshot of vehicle locations, treating the multi-RSU VANET as a sequential planned decision process. We formulate the Multi-RSUs Probing and Cooperative Access (MRPCA) strategy, organized as a multi-stage approach with a multi-level threshold structure. We rigorously prove its optimality for maximizing average system throughput per large-scale phase using optimal sequential planned decision theory. We develop a distributed MAC algorithm with periodic location updates, adjusting thresholds based on inter-vehicle and vehicle-RSU distances in large-scale phases. In small-scale phases, multiple vehicles access channels following the MRPCA strategy with updated thresholds. Simulation results confirm the effectiveness and efficiency of our algorithm, offering insights into cooperative MAC in VANETs with multiple RSUs and practical implementation.
AbstractList This paper presents an optimization approach for cooperative Medium Access Control (MAC) techniques in Vehicular Ad Hoc Networks (VANETs) equipped with multiple Roadside Units (RSUs) to enhance network throughput. We propose a distributed cooperative MAC scheme based on the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocol. It integrates selective multi-RSUs probing and adaptive transmission, using a dual timescale channel access framework accounting for vehicle positions and channel fading. This framework divides the channel access into two phases: a large-scale phase that accounts for gradual changes in vehicle locations and a small-scale phase that adapts to rapid channel fluctuations. In each large-scale phase, we examine the MAC problem with a snapshot of vehicle locations, treating the multi-RSU VANET as a sequential planned decision process. We formulate the Multi-RSUs Probing and Cooperative Access (MRPCA) strategy, organized as a multi-stage approach with a multi-level threshold structure. We rigorously prove its optimality for maximizing average system throughput per large-scale phase using optimal sequential planned decision theory. We develop a distributed MAC algorithm with periodic location updates, adjusting thresholds based on inter-vehicle and vehicle-RSU distances in large-scale phases. In small-scale phases, multiple vehicles access channels following the MRPCA strategy with updated thresholds. Simulation results confirm the effectiveness and efficiency of our algorithm, offering insights into cooperative MAC in VANETs with multiple RSUs and practical implementation.
Author Atapattu, Saman
Wang, Yizhu
Sun, Sumei
Zhang, Zhou
Sithamparanathan, Kandeepan
Author_xml – sequence: 1
  givenname: Zhou
  orcidid: 0000-0002-4835-2799
  surname: Zhang
  fullname: Zhang, Zhou
  email: zt.sy1986@163.com
  organization: Tianjin Artificial Intelligence Innovation Center, Tianjin, China
– sequence: 2
  givenname: Saman
  orcidid: 0000-0002-1413-6393
  surname: Atapattu
  fullname: Atapattu, Saman
  email: saman.atapattu@rmit.edu.au
  organization: School of Engineering, RMIT University, Melbourne, VIC, Australia
– sequence: 3
  givenname: Yizhu
  surname: Wang
  fullname: Wang, Yizhu
  email: wangyizhuj@163.com
  organization: Tianjin Artificial Intelligence Innovation Center, Tianjin, China
– sequence: 4
  givenname: Sumei
  orcidid: 0000-0002-1701-8122
  surname: Sun
  fullname: Sun, Sumei
  email: sunsm@i2r.a-star.edu.sg
  organization: Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore
– sequence: 5
  givenname: Kandeepan
  orcidid: 0000-0002-9388-9173
  surname: Sithamparanathan
  fullname: Sithamparanathan, Kandeepan
  email: kandeepan.sithamparanathan@rmit.edu.au
  organization: School of Engineering, RMIT University, Melbourne, VIC, Australia
BookMark eNp9kEtLAzEUhYNUsD72LlwEXE_Nu5NlKb6gKtipLodM5lYj42RMUsF_b6RdiAtXlwPn3HvPd4hGve8BoVNKJpQSfVE9VRNGmJhwIRUp2R4aU811obnUIzQmhJaFlkIeoMMY37IUQtMxWj4Myb2bDs-9HyCY5D4B383meJmygBcHEa99wM8uQAcx4qfZ_WUVs06v-G7TJTd0gB-9aaNrAa96l-Ix2l-bLsLJbh6h1dVlNb8pFg_Xt_PZorBMs1QIqYW2mjCbX2RK28ZypYg2SsvpWrKmES0XbSmpldJKAGJIY7golTRToyk_QufbvUPwHxuIqX7zm9DnkzWnUpaZhpDZpbYuG3yMAda1dSn39H1u6LqakvoHYJ0B1j8A6x3AHCR_gkPIqMLXf5GzbcQBwC-7UnoqGf8Gx6d8IA
CODEN ITVTAB
CitedBy_id crossref_primary_10_1109_JIOT_2025_3581528
crossref_primary_10_1109_TITS_2025_3578099
crossref_primary_10_1109_LCOMM_2025_3585337
crossref_primary_10_1109_TMC_2025_3530851
crossref_primary_10_1002_cpe_8384
Cites_doi 10.1109/TCOMM.2011.060911.090599
10.1109/TWC.2018.2810119
10.1109/TDSC.2015.2399912
10.1109/JSAC.2012.120513
10.1109/TITS.2023.3247339
10.1109/MNET.001.1900659
10.1109/TITS.2017.2663434
10.1109/TCOMM.2022.3193152
10.1109/ICC51166.2024.10622916
10.1007/978-1-4612-2736-6
10.1109/TIT.2021.3097588
10.1109/TMC.2021.3055028
10.1109/TNET.2020.3011839
10.1109/TVT.2017.2780829
10.1109/TITS.2019.2961705
10.1109/TVT.2021.3063694
10.1109/MWC.001.2000393
10.1109/JIOT.2023.3275151
10.1109/TITS.2019.2929825
10.1109/LWC.2023.3262287
10.1109/icc.2011.5963177
10.1002/9781118344774
10.1109/ACCESS.2022.3142450
10.1109/TITS.2020.3023708
10.1109/TITS.2018.2795381
10.1109/JIOT.2020.2967500
10.1109/TNSM.2023.3300653
10.1109/TITS.2020.3034223
10.1109/TVT.2019.2945481
10.1109/TITS.2020.2976564
10.1109/TITS.2022.3149987
10.1109/TVT.2016.2634545
10.1109/TCOMM.2020.3044340
10.1109/TITS.2012.2183366
10.1109/TVT.2023.3239801
10.1109/TVT.2018.2866496
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2025
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2025
DBID 97E
RIA
RIE
AAYXX
CITATION
7SP
8FD
FR3
KR7
L7M
DOI 10.1109/TVT.2024.3456082
DatabaseName IEEE Xplore (IEEE)
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Electronic Library (IEL)
CrossRef
Electronics & Communications Abstracts
Technology Research Database
Engineering Research Database
Civil Engineering Abstracts
Advanced Technologies Database with Aerospace
DatabaseTitle CrossRef
Civil Engineering Abstracts
Engineering Research Database
Technology Research Database
Advanced Technologies Database with Aerospace
Electronics & Communications Abstracts
DatabaseTitleList Civil Engineering Abstracts

Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1939-9359
EndPage 893
ExternalDocumentID 10_1109_TVT_2024_3456082
10669752
Genre orig-research
GrantInformation_xml – fundername: National Natural Science Foundation of China
  grantid: 62171456
  funderid: 10.13039/501100001809
– fundername: Australian Research Council
  grantid: FT210100728
  funderid: 10.13039/501100000923
GroupedDBID -~X
.DC
0R~
29I
3EH
4.4
5GY
5VS
6IK
97E
AAIKC
AAJGR
AAMNW
AARMG
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACGFO
ACGFS
ACIWK
ACNCT
AENEX
AETIX
AGQYO
AGSQL
AHBIQ
AI.
AIBXA
AKJIK
AKQYR
ALLEH
ALMA_UNASSIGNED_HOLDINGS
ASUFR
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
EJD
HZ~
H~9
IAAWW
IBMZZ
ICLAB
IFIPE
IFJZH
IPLJI
JAVBF
LAI
M43
MS~
O9-
OCL
P2P
RIA
RIE
RNS
RXW
TAE
TN5
VH1
AAYXX
CITATION
7SP
8FD
FR3
KR7
L7M
ID FETCH-LOGICAL-c292t-45949c902c359269cbc36609a6957f52bb4d34d851c55c5ee0a0ba34865a7a913
IEDL.DBID RIE
ISICitedReferencesCount 5
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001397799200017&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0018-9545
IngestDate Tue Jul 22 18:41:52 EDT 2025
Sat Nov 29 02:59:18 EST 2025
Tue Nov 18 22:38:01 EST 2025
Wed Aug 27 01:55:51 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c292t-45949c902c359269cbc36609a6957f52bb4d34d851c55c5ee0a0ba34865a7a913
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0002-9388-9173
0000-0002-1413-6393
0000-0002-4835-2799
0000-0002-1701-8122
PQID 3155802445
PQPubID 85454
PageCount 17
ParticipantIDs ieee_primary_10669752
crossref_citationtrail_10_1109_TVT_2024_3456082
proquest_journals_3155802445
crossref_primary_10_1109_TVT_2024_3456082
PublicationCentury 2000
PublicationDate 2025-Jan.
2025-1-00
20250101
PublicationDateYYYYMMDD 2025-01-01
PublicationDate_xml – month: 01
  year: 2025
  text: 2025-Jan.
PublicationDecade 2020
PublicationPlace New York
PublicationPlace_xml – name: New York
PublicationTitle IEEE transactions on vehicular technology
PublicationTitleAbbrev TVT
PublicationYear 2025
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref13
ref35
ref12
ref34
ref15
ref37
ref14
ref36
ref11
ref33
ref10
ref2
ref1
ref17
ref16
ref38
ref19
ref18
Schmitz (ref30) 1993
Ferguson (ref31) 2008
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
Bertsekas (ref32) 1999
References_xml – ident: ref25
  doi: 10.1109/TCOMM.2011.060911.090599
– ident: ref35
  doi: 10.1109/TWC.2018.2810119
– ident: ref36
  doi: 10.1109/TDSC.2015.2399912
– ident: ref5
  doi: 10.1109/JSAC.2012.120513
– ident: ref9
  doi: 10.1109/TITS.2023.3247339
– ident: ref4
  doi: 10.1109/MNET.001.1900659
– ident: ref10
  doi: 10.1109/TITS.2017.2663434
– ident: ref28
  doi: 10.1109/TCOMM.2022.3193152
– year: 2008
  ident: ref31
  article-title: Optimal stopping and applications. Mathematics department
– ident: ref24
  doi: 10.1109/ICC51166.2024.10622916
– volume-title: Optimal Sequentially Planned Decision Procedures, Ser. Lecture Notes in Statistics
  year: 1993
  ident: ref30
  doi: 10.1007/978-1-4612-2736-6
– ident: ref27
  doi: 10.1109/TIT.2021.3097588
– ident: ref29
  doi: 10.1109/TMC.2021.3055028
– ident: ref19
  doi: 10.1109/TNET.2020.3011839
– ident: ref22
  doi: 10.1109/TVT.2017.2780829
– ident: ref7
  doi: 10.1109/TITS.2019.2961705
– ident: ref16
  doi: 10.1109/TVT.2021.3063694
– ident: ref1
  doi: 10.1109/MWC.001.2000393
– ident: ref12
  doi: 10.1109/JIOT.2023.3275151
– ident: ref6
  doi: 10.1109/TITS.2019.2929825
– ident: ref23
  doi: 10.1109/LWC.2023.3262287
– ident: ref26
  doi: 10.1109/icc.2011.5963177
– ident: ref38
  doi: 10.1002/9781118344774
– ident: ref3
  doi: 10.1109/ACCESS.2022.3142450
– ident: ref8
  doi: 10.1109/TITS.2020.3023708
– ident: ref2
  doi: 10.1109/TITS.2018.2795381
– ident: ref14
  doi: 10.1109/JIOT.2020.2967500
– volume-title: Nonlinear programming
  year: 1999
  ident: ref32
– ident: ref33
  doi: 10.1109/TNSM.2023.3300653
– ident: ref11
  doi: 10.1109/TITS.2020.3034223
– ident: ref15
  doi: 10.1109/TVT.2019.2945481
– ident: ref18
  doi: 10.1109/TITS.2020.2976564
– ident: ref17
  doi: 10.1109/TITS.2022.3149987
– ident: ref13
  doi: 10.1109/TVT.2016.2634545
– ident: ref34
  doi: 10.1109/TCOMM.2020.3044340
– ident: ref37
  doi: 10.1109/TITS.2012.2183366
– ident: ref20
  doi: 10.1109/TVT.2023.3239801
– ident: ref21
  doi: 10.1109/TVT.2018.2866496
SSID ssj0014491
Score 2.478517
Snippet This paper presents an optimization approach for cooperative Medium Access Control (MAC) techniques in Vehicular Ad Hoc Networks (VANETs) equipped with...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 877
SubjectTerms Access control
Algorithms
Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA)
Collision avoidance
Control theory
Cooperative control
Cooperative Medium Access Control (MAC)
Decision theory
distributed channel access
Fading channels
Media Access Control
Mobile ad hoc networks
Optimization
Phases
Protocols
Relays
roadside units
Roadsides
Simulation
Strategy
Thresholds
Throughput
vehicular ad hoc network
Vehicular ad hoc networks
Wireless communication
Title Optimal Cooperative MAC Strategies for Wireless VANETs With Multiple Roadside Units
URI https://ieeexplore.ieee.org/document/10669752
https://www.proquest.com/docview/3155802445
Volume 74
WOSCitedRecordID wos001397799200017&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  customDbUrl:
  eissn: 1939-9359
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0014491
  issn: 0018-9545
  databaseCode: RIE
  dateStart: 19670101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8NAEF60eNCDz4rVKnvw4iHtvpM9llLx0ipaS29hs9mgUJvSpP5-dzdpqYiCtwRmIMxkZr_dnZkPgFupeUITkQYpJmnASIgCyRQOMosuBA1JphLkySbC0SiaTuVT3azue2GMMb74zHTco7_LT3O9ckdlNsKFkCG3GXc3DEXVrLW5MmCspsfDNoItLljfSSLZHU_GdidIWIdauIAi8m0N8qQqPzKxX17uj_75YcfgsMaRsFc5_gTsmPkpONiaLngGXh5tOviwQv08X5hqwjcc9vpwPZHWFNBCVugKYGc24cFJbzQYF_a9fIPDutAQPucqdZSe0KHTogle7wfj_kNQcygEmkhSBoxLJrVERFMuiZA60VQIJJWQPMw4SRKWUpZa3KU519wYpFCiKIsEV6GSmJ6DxjyfmwsAMy2IwhlBXEcsw1whkuEEiyjDkY4Mb4Hu2qqxrgeMO56LWew3GkjG1g-x80Nc-6EF7jYai2q4xh-yTWf3LbnK5C3QXnsursOviKlFSZFVZvzyF7UrsE8ck68_TGmDRrlcmWuwpz_L92J54_-sLyi7yTg
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwEA-igvrgtzg_8-CLD93y3eZxjA1FN0Xr8K2kaYrCXMc6_ftN0k4mouBbC3dQ7nqXX5K7-wFwITVPaSqyIMMkCxgJUSCZwkFu0YWgIclVijzZRDgYRM_P8r5uVve9MMYYX3xmmu7R3-VnhX53R2U2woWQIbcZd4UzRlDVrvV1acBYTZCHbQxbZDC_lUSyFQ9juxckrEktYEAR-bYKeVqVH7nYLzC9rX9-2jbYrJEkbFeu3wFLZrwLNhbmC-6BxzubEN6sUKcoJqaa8Q377Q6cz6Q1JbSgFboS2JFNeXDYHnTj0r7PXmC_LjWED4XKHKkndPi03AdPvW7cuQpqFoVAE0lmAeOSSS0R0ZRLIqRONRUCSSUkD3NO0pRllGUWeWnONTcGKZQqyiLBVagkpgdgeVyMzSGAuRZE4ZwgriOWY64QyXGKRZTjSEeGN0BrbtVE1yPGHdPFKPFbDSQT64fE-SGp_dAAl18ak2q8xh-y-87uC3KVyRvgZO65pA7AMqEWJ0VWmfGjX9TOwdpV3L9Nbq8HN8dgnTheX3-0cgKWZ9N3cwpW9cfstZye-b_sE8znzH8
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=Optimal+Cooperative+MAC+Strategies+for+Wireless+VANETs+With+Multiple+Roadside+Units&rft.jtitle=IEEE+transactions+on+vehicular+technology&rft.au=Zhang%2C+Zhou&rft.au=Atapattu%2C+Saman&rft.au=Wang%2C+Yizhu&rft.au=Sun%2C+Sumei&rft.date=2025-01-01&rft.issn=0018-9545&rft.eissn=1939-9359&rft.volume=74&rft.issue=1&rft.spage=877&rft.epage=893&rft_id=info:doi/10.1109%2FTVT.2024.3456082&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TVT_2024_3456082
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0018-9545&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0018-9545&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0018-9545&client=summon