Enhanced clustering based routing protocol in vehicular ad-hoc networks

A vehicular ad-hoc network (VANET) is derived from a mobile ad-hoc network that is a part of less infrastructure network design. Vehicular communication in VANET can be achieved using vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication. A vehicle communicates with other vehicles through onboard units while communicating with roadside units in an infrastructure mode. Secure clustering is required for the communication between nodes in the whole network. The fundamental problem with the VANET is the instability of the network that occurs due to vehicles' mobile nature, which decreases the network's efficiency. This research proposes an enhanced cluster-based lifetime protocol ECBLTR that focuses on maximising the network's stability of routing and average throughput. The Sugeno model fuzzy inference system is used for assessing the cluster head (CH) that takes residual energy, local distance, node degree, concentration, and distance from the base station as input parameters. The enhanced routing protocol shows that the proper channel model with an efficient routing protocol enhances the link throughput of the VANET for fixed network size. These results show an efficient selection method of CH through the fuzzy system and a 10% increase in network lifetime. Furthermore, performance evaluation also demonstrates the impact of network sizes and routing protocols on packet delivery ratio and packet loss, average end-to-end delay, and overhead transmission.

• Record URL:
  http://dx.doi.org/10.1049/els2.12069
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/20429738
• Supplemental Notes:
  • © 2023 The Authors.
• Authors:
  • Naeem, Afia
  • Rizwan, Muhammad
  • Alsubai, Shtwai
  • Almadhor, Ahmad
  • Akhtaruzzaman, Md
  • 0000-0001-5679-5752
  • Islam, Shayla
  • Rahman, Hameedur
• Publication Date: 2023-3

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 15p
• Serial:
  • IET Electrical Systems in Transportation
  • Volume: 13
  • Issue Number: 1
  • Publisher: Institution of Engineering and Technology (IET)
  • ISSN: 2042-9738
  • EISSN: 2042-9746
  • Serial URL: https://ietresearch.onlinelibrary.wiley.com/journal/20429746

Subject/Index Terms

• TRT Terms: Computer network protocols; Fuzzy logic; Mobile communication systems; Packet switching; Vehicular ad hoc networks
• Identifier Terms: Sugeno Fuzzy Model
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01883470
• Record Type: Publication
• Files: TRIS
• Created Date: May 25 2023 1:51PM