MC-COCO4V2P: Multi-Channel Clustering-Based Congestion Control for Vehicle-to-Pedestrian Communication

Vehicle-to-Pedestrian communication can extend crash prevention capabilities of the current driver assistance systems in vehicles. This requires vehicles and pedestrians to exchange safety messages with each other. However, as the number of pedestrians increases, the numerous safety messages transmitted by pedestrians can quickly congest the network. This can severely affect Vehicle-to-Pedestrian and Vehicle-to-Vehicle communication. Hence, a mechanism for the mitigation of network congestion caused by pedestrian safety messages is required. This article proposes a Multi-channel Clustering-based Congestion Control (MC-COCO4V2P) algorithm, a proactive and infrastructure-independent clustering-based approach to mitigate the network congestion caused by pedestrians. The authors' approach clusters pedestrians based on their location and direction and uses separate channels for exchanging cluster and safety messages, thereby reducing the control information overhead. It also employs a transmit power control mechanism to make the clustering mechanism energy efficient. The authors' results show that the clustering of pedestrians can significantly improve network performance and reduce the power consumption of pedestrians’ devices.

• Record URL:
  http://dx.doi.org/10.1109/TIV.2020.3046694
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23798858
• Supplemental Notes:
  • Copyright © 2021, IEEE.
• Authors:
  • Sewalkar, Parag
  • Seitz, Jochen
• Publication Date: 2021-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 523-532
• Serial:
  • IEEE Transactions on Intelligent Vehicles
  • Volume: 6
  • Issue Number: 3
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 2379-8858
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7274857

Subject/Index Terms

• TRT Terms: Cluster analysis; Communication; Connected vehicles; Driver support systems; Energy consumption; Messages (Communications); Mobile communication systems; Networks; Pedestrians
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors;

Filing Info

• Accession Number: 01785367
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 22 2021 5:16PM