Weighted waypoint mobility model and its impact on ad hoc networks

Hsu, Wei-jen; Merchant, K.; Shu, Haw-wei; Hsu, Chih-hsin

doi:10.1145/1055959.1055968

Cited by 128 publications

(71 citation statements)

References 6 publications

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“…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. The WWM adds the notion of preference to the random waypoint.…”

Section: Synthetic Modelsmentioning

confidence: 99%

Mobility models for vehicular ad hoc networks: a survey and taxonomy

Härri

Filali

Bonnet

2009

IEEE Commun. Surv. Tutorials

627

304

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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.

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Section: Synthetic Modelsmentioning

confidence: 99%

Mobility models for vehicular ad hoc networks: a survey and taxonomy

Härri

Filali

Bonnet

2009

IEEE Commun. Surv. Tutorials

627

304

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“…The goal of the model is to evaluate the effectiveness of wireless communication devices in improving avalanche safety. The weighted waypoint mobility model [10] by Hsu et al describes the pedestrian movement patterns among preferred locations on a campus. The preferred locations are predetermined in the environment and assigned with "weights", which define the probability of being selected as the destination by the pedestrians.…”

Section: Related Workmentioning

confidence: 99%

Modeling visitor movement in theme parks

Solmaz

Akbaş

Turgut

2012

37th Annual IEEE Conference on Local Computer Networks

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Abstract-Realistic modeling of the movement of people in an environment is critical for evaluating the performance of mobile wireless systems such as urban sensing or mobile sensor networks. Existing human movement models are either fully synthetic or rely on traces of actual human movement. There are many situations where we cannot perform an accurate simulation without taking into account what the people are actually doing. For instance, in theme parks, the movement of people is strongly tied to the locations of the attractions and is synchronized with major external events. For these situations, we need to develop scenario specific models.In this paper, we present a model of the movement of visitors in a theme park. The nondeterministic behavior of the human walking pattern is combined with the deterministic behavior of attractions in the theme park. The attractions are divided into groups of rides, restaurants and live shows. The time spent by visitors at different attractions is calculated using specialized queuing-theoretic models. We compare the realism of the model by comparing its simulations to the statistics of the theme parks and to real-world GPS traces of visitor movement. We found that our model provides a better match to the real-world data compared to current state-of-the-art movement models.

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“…More complex rules are introduced to make the nodes follow a popularity distribution when selecting the next destination [12], stay on designated paths for movements [17], or move as a group [11]. These rules enrich the scenarios covered by the synthetic mobility models, but at the same time make theoretical treatment of these models difficult.…”

Section: Related Workmentioning

confidence: 99%

“…Our goal in this paper is, on one hand, to improve the existing random mobility models (e.g., random walk, random direction, etc.) and synthetic mobility models (e.g., [12], [11], [17]) on the front of realism, by considering empirically observed mobility characteristics from the traces [14]. On the other hand, the construction of the model should new model should be simple enough to allow in-depth theoretical analysis, and be flexible enough to have wider applicability than the mobility traces (which provide only a single snapshot of the underlying mobility process) and current trace-based mobility models [33], [23], [22] which focus mainly on matching mobility characteristics with a specific class of traces.…”

Section: Introductionmentioning

confidence: 99%

Modeling Spatial and Temporal Dependencies of User Mobility in Wireless Mobile Networks

Hsu

Spyropoulos

Psounis

et al. 2009

IEEE/ACM Trans. Networking

142

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Abstract-Realistic mobility models are fundamental to evaluate the performance of protocols in mobile ad hoc networks. Unfortunately, there are no mobility models that capture the nonhomogeneous behaviors in both space and time commonly found in reality, while at the same time being easy to use and analyze. Motivated by this, we propose a time-variant community mobility model, referred to as the TVC model, which realistically captures spatial and temporal correlations. We devise the communities that lead to skewed location visiting preferences, and time periods that allow us to model time dependent behaviors and periodic re-appearances of nodes at specific locations.To demonstrate the power and flexibility of the TVC model, we use it to generate synthetic traces that match the characteristics of a number of qualitatively different mobility traces, including wireless LAN traces, vehicular mobility traces, and human encounter traces. More importantly, we show that, despite the high level of realism achieved, our TVC model is still theoretically tractable. To establish this, we derive a number of important quantities related to protocol performance, such as the average node degree, the hitting time, and the meeting time, and provide examples of how to utilize this theory to guide design decisions in routing protocols.

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Weighted waypoint mobility model and its impact on ad hoc networks

Cited by 128 publications

References 6 publications

Mobility models for vehicular ad hoc networks: a survey and taxonomy

Mobility models for vehicular ad hoc networks: a survey and taxonomy

Modeling visitor movement in theme parks

Modeling Spatial and Temporal Dependencies of User Mobility in Wireless Mobile Networks

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