1st International ICST Workshop on Spatial Stochastic Models for Wireless Networks

Research Article

Mask Based Mobility Model A new mobility model with smooth trajectories

  • @INPROCEEDINGS{10.1109/WIOPT.2007.4480072,
        author={C. Joumaa and A. Caminada and S. Lamrous},
        title={Mask Based Mobility Model A new mobility model with smooth trajectories},
        proceedings={1st International ICST Workshop on Spatial Stochastic Models for Wireless Networks},
        publisher={IEEE},
        proceedings_a={SPASWIN},
        year={2008},
        month={3},
        keywords={Displacement Mask  Mobility Models  Motion pattern},
        doi={10.1109/WIOPT.2007.4480072}
    }
    
  • C. Joumaa
    A. Caminada
    S. Lamrous
    Year: 2008
    Mask Based Mobility Model A new mobility model with smooth trajectories
    SPASWIN
    IEEE
    DOI: 10.1109/WIOPT.2007.4480072
C. Joumaa1,*, A. Caminada1,*, S. Lamrous1,*
  • 1: SET Laboratory Belfort, France
*Contact email: chibli.jouma@utbm.fr, alexandre.caminada@utbm.fr, sid.lamrous@utbm.fr

Abstract

This paper presents a new mobility model: the mask based mobility model (MBMM). This model is based on ad hoc mobility studies and uses Markov chains to choose direction when simulating human displacement. The proposed model simulates real human displacement taking into account some information like terrain characteristic and urban infrastructure. After a brief overview of existing mobility models, the main features of MBMM are exposed: direction, path correction and attraction power, showing major advantages of the proposed model compared to already published works. Then simulation results for model validation purpose have shown a high degree of realism for individual motion.