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Mobility Models and their Affect on Data Aggregation and Dissemination in Vehicular Networks

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Abstract

Vehicular networks have been continuously attracting the attention from both academia and research industries. One of the most important challenges faced by the vehicular network is the definition of a generic mobility model providing accurate and realistic mobility description. However, due to the availability of large number of mobility models, it is hard to realize incomparable features, real capabilities and understanding the true degree of realism with respect to vehicular mobility. As all the vehicles in vehicular networks are sharing a limited network bandwidth, data aggregation (combining correlated data items from different vehicles) and data dissemination (distributing the data to other vehicles or roadside units) save the network bandwidth and, allows more vehicular applications to co-exist. Many papers exist in the literature that either discuss mobility models, data aggregation, data dissemination or propose a new mobility model, data aggregation scheme, data dissemination scheme. However, the performance of data aggregation and dissemination schemes varies with the change in mobility model. Therefore in performance studies of vehicular networks, investigating the influence of mobility models on the data aggregation and dissemination plays a major role. In this paper, we first describe the different levels of mobility and various factors affecting the mobility patterns. Then, we discuss the performance metrics for analyzing the performance of various algorithms in vehicular networks. Subsequently, we illustrate the different categories of mobility models with the description of each. Finally, we propose an overview and taxonomy of several mobility models available for vehicular networks with simulation. The objective is to provide readers with a guideline to easily understand the impact of mobility models on data aggregation and dissemination and, allows them to choose the best mobility model required for the application.

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  1. Information Technology, Maharishi Markandeshwar University, Mullana, India

    Rakesh Kumar

  2. Computer Engineering, National Institute of Technology, Kurukshetra, India

    Mayank Dave

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Kumar, R., Dave, M. Mobility Models and their Affect on Data Aggregation and Dissemination in Vehicular Networks. Wireless Pers Commun 79, 2237–2269 (2014). https://doi.org/10.1007/s11277-014-1983-9

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