A Dynamic Evolution Mechanism for IoV Community in an Urban Scene

Jiu Jun Cheng, Chun Rong Cao, Meng Chu Zhou, Cong Liu, Shang Ce Gao, Chang Jun Jiang

Research output: Contribution to journalArticlepeer-review


Existing work on Internet of Vehicles (IoV) community mainly focuses on the detection of IoV community using static network detection and evolution methods of complex networks. These methods are prone to over-centralization, high computational complexity, and poor stability during the evolution of a community. In this work, we present an IoV community model and its evolution mechanism in an urban scene. More specifically, we first propose an IoV community detection model based on node similarity merging. Then, we use a network increment-based strategy to analyze node increment, edge increment, and weight increment. Finally, we give a dynamic evolution mechanism of an IoV community. Simulation-based experimental evaluation results show that the proposed mechanism achieves better real-time performance and accuracy than existing methods.

Original languageEnglish (US)
JournalIEEE Internet of Things Journal
StateAccepted/In press - 2020

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications


  • Heuristic algorithms
  • Image edge detection
  • Intelligent vehicles
  • Internet of Things
  • IoV
  • Stability analysis
  • Time complexity
  • Vehicle dynamics
  • community model
  • dynamic evolution
  • network incremental-based
  • urban scene.


Dive into the research topics of 'A Dynamic Evolution Mechanism for IoV Community in an Urban Scene'. Together they form a unique fingerprint.

Cite this