Abstract:User mobility models are used in simulations of mobile communications systems to study characteristics of network performance. One of the models which is in common use is the Random Waypoint Model (RWP). The RWP is a simple mobility model based on random destinations, speeds and pause times. The RWP is often criticised as not representing how humans actually move. Paradoxically, validation against real mobility data is seen as being difficult due to the impracticalities of obtaining real mobility data.We give … Show more
“…Accordingly, one solution is to gather mobility traces by large measurement campaigns then compare the patterns with those developed by the synthetic model. In [2], authors proposed to validate some key characteristics of the RWP such as average speed and rest times using real life data. The Weighted Waypoint Model (WWM) [3] is a second attempt to validate a synthetic model which has been tuned by real traces.…”
Vehicular Ad-hoc Networks (VANETs) have been recently attracting an increasing attention from both research and industry communities. One of the challenges posed by the study of VANETs is the definition of a generic mobility model providing an accurate, realistic vehicular mobility description at both macroscopic and microscopic levels. Today, most mobility models for vehicular studies only consider a limited macro-mobility, involving restricted vehicles movements, while little or no attention is paid to micro-mobility and its interaction with the macro-mobility counterpart. On the other hand, the research community cannot have access to realistic traffic generator which have not been designed to collaborate with network simulators. In this paper, we first introduce a classification of existing methods for the generation of vehicular mobility models, then we describe the various approaches used by the community for realistic VANET simulations. Finally, we provide an overview and comparison of a large range of mobility models proposed for vehicular ad hoc networks.
“…Accordingly, one solution is to gather mobility traces by large measurement campaigns then compare the patterns with those developed by the synthetic model. In [2], authors proposed to validate some key characteristics of the RWP such as average speed and rest times using real life data. The Weighted Waypoint Model (WWM) [3] is a second attempt to validate a synthetic model which has been tuned by real traces.…”
Vehicular Ad-hoc Networks (VANETs) have been recently attracting an increasing attention from both research and industry communities. One of the challenges posed by the study of VANETs is the definition of a generic mobility model providing an accurate, realistic vehicular mobility description at both macroscopic and microscopic levels. Today, most mobility models for vehicular studies only consider a limited macro-mobility, involving restricted vehicles movements, while little or no attention is paid to micro-mobility and its interaction with the macro-mobility counterpart. On the other hand, the research community cannot have access to realistic traffic generator which have not been designed to collaborate with network simulators. In this paper, we first introduce a classification of existing methods for the generation of vehicular mobility models, then we describe the various approaches used by the community for realistic VANET simulations. Finally, we provide an overview and comparison of a large range of mobility models proposed for vehicular ad hoc networks.
“…The transmission is UDP based and the performance of the systems are simulated with QualNet. We assume that MNs can move freely within a given area of 3000x3000 m according to the random-waypoint mobility (RWP) model, which is the most widely used and studied mobility model [30]- [32]. Instead, APs are fixed and located on the map according to a grid in order to assure the maximum radio coverage.…”
Abstract-Overcoming problems associated with network dynamicity and unreliable channels has been a challenge for data dissemination protocols in vehicular networks. In this paper, we present an overview on the most interesting solutions that have been proposed to perform data dissemination in this environment.Starting from this analysis, we present a novel approach that can efficiently address a reliable communication even in high dynamic networks. The new approach is based on the exploitation of a peculiar characteristic of rateless codes. In particular, the proposed method uses the orthogonality of the encoded sets of symbols generated by different random seeds. In this way, portions of the information can be disseminated even if this has not been decoded yet. In fact, an easy management of the communication of these sets among nodes enhances the reliability of the communication as well as the speed of the information dissemination. In this work, we present the idea of this innovative approach and we provide results that show the advantages of using it over other solutions.
“…The synthetic models [16], [17] and the survey-based models [18], [19] are often unable to provide realistic modeling of motion patterns, although they can be very complex. The trace-based approach attempts to extract mobility models from real mobility traces by approximating the movements based on the observed movement patterns [20], [21].…”
Abstract-Key challenges in vehicular transportation and communication systems are understanding vehicular mobility and utilizing mobility prediction, which are vital for both solving the congestion problem and helping to build efficient vehicular communication networking. Most of the existing works mainly focus on designing algorithms for mobility prediction and exploring utilization of these algorithms. However, the crucial questions of how much the mobility is predictable and how the mobility predictability can be used to enhance the system performance are still the open and unsolved problems. In this paper, we consider the fundamental problem of the predictability limits of vehicular mobility. By using two large-scale urban city vehicular traces, we propose an intuitive but effective model of areas transition to describe the vehicular mobility among the areas divided by the city intersections. Based on this model, we examine the predictability limits of large-scale urban vehicular networks and obtain the maximal predictability based on the methodology of entropy theory. Our study finds that about 78%-99% of the location and above 70% of the staying time, respectively, are predicable. Our findings thus reveal that there is strong regularity in the daily vehicular mobility, which can be exploited in practical prediction algorithm design.
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