Detecting Hot Road Mobility of Vehicular Ad Hoc Networks

  • Authors:

  • Daqiang Zhang;Hongyu Huang;Jingyu Zhou;Feng Xia;Zhe Chen

  • Affiliations:

  • School of Software Engineering, Tongji University, Shanghai, China 201804;College of Computer Science, Chongqing University, Chongqing, China 400044;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China 200240;School of Software, Dalian University of Technology, Dalian, China 116024;College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China 210016

  • Venue:
  • Mobile Networks and Applications
  • Year:
  • 2013

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Abstract

Vehicular Ad Hoc Networks (VANETs) can provide value-added services to both drivers and passengers with on-board vehicular communication systems. Node mobility and volatile wireless connection in VANETs affect inter-contact time (TI) between mobile nodes, which greatly degrades the performance of vehicular applications. Nevertheless, the node spatial distribution in VANETs is another important factor especially in real applications. It positively affects the inter-contact time of vehicular nodes. By leveraging it, we can significantly improve the performance of data transmissions and inter-vehicle communication. To this end, we investigate the data collected from around 4,000 taxisin Shanghai and propose in this paper an efficient hot road mobility model. We find that most taxis distribute on some hot roads, which makes the node spatial distribution follow the power law. Based on this observation, we propose the concepts of indirect contact and heterogeneous inter-contact time (TH) to reveal how hot roads can change the distribution of inter-contact time. We find that the tail distribution of TH also appears the power law, and both node spatial distribution and TH distribution decay at least as the power law. We further propose a model for detecting vehicle mobility in hot roads, which can generates synthetic traces that captures both spatial and temporal features of nodes in VANETs.