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Enhancing routing efficiency in highway environments of vehicular ad hoc networks through fuzzy logic-based protocols

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 15 No. 1 (2025)

DOI
10.11591/ijece.v15i1.pp493-504
ISSN
2722-2578, 2088-8708
Published
2025-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The predictive directional greedy routing (PDGR) protocol is widely utilized in highway settings within vehicular ad hoc networks (VANETs). However, PDGR encounters a notable challenge when packets lack a suitable vehicle directionally, leading to network disconnections. This triggers a shift to carry and forward recovery mode due to outdated neighbor information in the vehicle's neighbor table (VNT). To address this, our study proposes an improved fuzzy logic-based improved PDGR (IPDGR). This novel algorithm dynamically adjusts beaconing intervals based on real-time network dynamics. Through comprehensive evaluation using VANET simulators, IPDGR demonstrates superior performance compared to PDGR and directional greedy routing (DGR) protocols across various metrics including Inconsistency of vehicle's neighbor's table (IVNT), packet delivery ratio (PDR), routing path length (RPL), and number of hole problem occurrence (NHPO).

Collaboration network of the authors

40 authors · 223 co-authorship links · 97 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Imam Abdulrahman Bin Faisal University
  • Jerash University
  • Al-Balqa Applied University
  • Taibah University
  • Amman Arab University
  • Fujairah University
  • Wenzhou-Kean University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Malek AlzaqebahImam Abdulrahman Bin Faisal University18
Ibrahim AlmarashdehImam Abdulrahman Bin Faisal University17
Sana JawarnehImam Abdulrahman Bin Faisal University15
Firas HaddadImam Abdulrahman Bin Faisal University11
Mohammed Fahed TayfourImam Abdulrahman Bin Faisal University8
Eman A. E. AhmedImam Abdulrahman Bin Faisal University8
Raed Ali AlkhasawnehImam Abdulrahman Bin Faisal University6
Yousef QawqzehFujairah University6
Mohammad AlmatariAl-Balqa Applied University6
Belal AbuhaijaWenzhou-Kean University6
Aladeen AlloubaniKing Hussein Cancer Center6
Nashat AlrefaiImam Abdulrahman Bin Faisal University5
Muneerah AlshabanahImam Abdulrahman Bin Faisal University5
Daniah AlrajhiImam Abdulrahman Bin Faisal University5
Hanouf AlkhaldiImam Abdulrahman Bin Faisal University5
Rami Mustafa A. MohammadImam Abdulrahman Bin Faisal University5
Ibrahim Al-marashdehAffiliation unknown4
Abderrazak Ben SalahImam Abdulrahman Bin Faisal University4
Tamer FaragImam Abdulrahman Bin Faisal University3
Walaa HassanImam Abdulrahman Bin Faisal University3
Ali Al‐YousefJerash University2
Anmar Abu-HamdahAffiliation unknown2
Khalid ShakerUniversity of Anbar2
Anmar AbuhamdahTaibah University2
Wadii BoulilaTaibah University2
Anas Mohammad Ali QuteishatAl-Balqa Applied University2
Ahmad Mohamad Al-SmadiAl-Balqa Applied University1
Abdel Karim BaarehAl-Balqa Applied University1
Hayam AbouelmagdImam Abdulrahman Bin Faisal University1
Osman Saad ShidwanImam Abdulrahman Bin Faisal University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Enhancing routing efficiency in highway environments of vehicular ad hoc networks through fuzzy logic-based protocols</dc:title><dc:creator>Al Shugran, Mahmoud A.</dc:creator><dc:creator>Abu-Al-Aish, Ahmad</dc:creator><dc:creator>Jaradat, Ghaith M.</dc:creator><dc:creator>Alghamdi, Fahad Ali</dc:creator><dc:creator>Alqurni, Jehad Saad</dc:creator><dc:creator>Alsmadi, Mutasem Khalil</dc:creator><dc:creator>AL Hawamdeh, Majd</dc:creator><dc:creator>Alfagham, Hayat</dc:creator><dc:creator>Badawi, Usama A.</dc:creator><dc:creator>Gharaibeh, Mutaz Falah</dc:creator><dc:description>&lt;jats:p&gt;The predictive directional greedy routing (PDGR) protocol is widely utilized in highway settings within vehicular ad hoc networks (VANETs). However, PDGR encounters a notable challenge when packets lack a suitable vehicle directionally, leading to network disconnections. This triggers a shift to carry and forward recovery mode due to outdated neighbor information in the vehicle's neighbor table (VNT). To address this, our study proposes an improved fuzzy logic-based improved PDGR (IPDGR). This novel algorithm dynamically adjusts beaconing intervals based on real-time network dynamics. Through comprehensive evaluation using VANET simulators, IPDGR demonstrates superior performance compared to PDGR and directional greedy routing (DGR) protocols across various metrics including Inconsistency of vehicle's neighbor's table (IVNT), packet delivery ratio (PDR), routing path length (RPL), and number of hole problem occurrence (NHPO).&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2025-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v15i1.pp493-504</dc:identifier><dc:identifier>10.11591/ijece.v15i1.pp493-504</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 15 No 1 (2025); 493</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/34844/17958</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>