Agenda driven mobility modelling

Zheng, Qunwei; Hong, Xiaobin; Li, Jun; Cordes, David; Huang, Wan

doi:10.1504/ijahuc.2010.030000

Cited by 31 publications

(26 citation statements)

References 31 publications

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“…Another well-known model in this class is agenda driven mobility model (ADMM) [6]. ADMM uses national household travel survey (NHTS) information from the US Department of Transportation to obtain activity and well time distributions.…”

Section: Map-based Modelsmentioning

confidence: 99%

Students Social Based Mobility Model for MANET-DTN Networks

Hrabcak¹,

Matis²,

Dobos³

et al. 2017

Mobile Information Systems

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In the real world, wireless mobile devices are carried by humans. For this reason, it is useful if mobility models as simulation tools used to test routing protocols and other MANET-DTN features follow the behaviour of humans. In this paper, we propose a new social based mobility model called Students Social Based Mobility Model (SSBMM). This mobility model is inspired by the daily routine of student's life. Since many current social based mobility models give nodes freedom in terms of movement according to social feeling and attractivity to other nodes or places, we focus more on the mandatory part of our life, such as going to work and school. In the case of students, this mandatory part of their life is studying in university according to their schedule. In their free time, they move and behave according to attractivity to other nodes or places of their origin. Finally, proposed SSBMM was tested and verified by Tools for Evaluation of Social Relation in Mobility Models and compared with random based mobility models. At the end, SSBMM was simulated to examine the impact of social relations on routing protocols.

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Section: Map-based Modelsmentioning

confidence: 99%

Students Social Based Mobility Model for MANET-DTN Networks

Hrabcak¹,

Matis²,

Dobos³

et al. 2017

Mobile Information Systems

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“…The most comprehensive approach of this group is presented in [12]. The model incorporates detailed geographic topology, personal schedules and motion generators defined for more than 30 different types of activities.…”

Section: Related Workmentioning

confidence: 99%

“…They are typically concerned with the regular reappearance to a set of preferred locations [9] or with the length of paths travelled by the users [10]. Similarly, there are models mostly focused on the accurate representation of the time-varying behavior of users, often relying on very detailed schedules of human activities [11] [12]. Finally, the class of social-based mobility models aims to exploit the relation between sociality and movements, and to formalize social interactions as the main driver of human movements [13] [14].…”

Section: Introductionmentioning

confidence: 99%

SPoT: Representing the social, spatial, and temporal dimensions of human mobility with a unifying framework

Karamshuk

Boldrini

Conti

et al. 2014

Pervasive and Mobile Computing

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Modeling human mobility is crucial in the analysis and simulation of opportunistic networks, where contacts are exploited as opportunities for peer-topeer message forwarding. The current approach with human mobility modeling has been based on continuously modifying models, trying to embed in them the mobility properties (e.g., visiting patterns to locations or specific distributions of inter-contact times) as they came up from trace analysis. As a consequence, with these models it is difficult, if not impossible, to modify the features of mobility or to control the exact shape of mobility metrics (e.g., modifying the distribution of inter-contact times). For these reasons, in this paper we propose a mobility framework rather than a mobility model, with the explicit goal of providing a flexible and controllable tool for modeling mathematically and generating simulatively different possible features of human mobility.Our framework, named SPoT, is able to incorporate the three dimensions -spatial, social, and temporal -of human mobility. The way SPoT does it is by mapping the different social communities of the network into different locations, whose members visit with a configurable temporal pattern. In order to characterize the temporal patterns of user visits to locations and the relative positioning of locations based on their shared users, we analyze the traces of real user movements extracted from three location-based online social networks (Gowalla, Foursquare, and Altergeo). We observe that a Bernoulli process effectively approximates user visits to locations in the majority of cases and that locations that share many common users visiting them frequently tend to be located close to each other. In addition, we use these traces to test the flexibility of the framework, and we show that SPoT Preprint submitted to Elsevier July 16, 2013 is able to accurately reproduce the mobility behavior observed in traces. Finally, relying on the Bernoulli assumption for arrival processes, we provide a throughout mathematical analysis of the controllability of the framework, deriving the conditions under which heavy-tailed and exponentially-tailed aggregate inter-contact times (often observed in real traces) emerge.

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“…More speci�cally, this model preserves two fundamental characteristics, the skewed location visiting preferences and the periodical reappearance of nodes in the same location. An agenda-based mobility model is proposed in [40], in which authors predict the movement of humans based on the trace of the people in the city. en routing decision is made according to these information.…”

Section: Social Mobility Modelmentioning

confidence: 99%

Study on Routing Protocols for Delay Tolerant Mobile Networks

Gong

2013

International Journal of Distributed Sensor Networks

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Delay tolerant mobile networks feature with intermittent connectivity, huge transmission delay, nodal mobility, and so forth. ere is usually no end-to-end path in the networks and it poses great challenges for routing in DTMNs. In this paper, the architecture of DTMNs is introduced at �rst, including the characteristics of DTMNs, routing challenges, and metric and mobility models. And then, the state-of-the-art routing protocols for DTMNs are discussed and analyzed. Routing strategies are classi�ed into three categories: nonknowledge-based approach, knowledge-based approach, and social-based approach. Finally, some research issues about DTMNs are presented.

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Agenda driven mobility modelling

Cited by 31 publications

References 31 publications

Students Social Based Mobility Model for MANET-DTN Networks

Students Social Based Mobility Model for MANET-DTN Networks

SPoT: Representing the social, spatial, and temporal dimensions of human mobility with a unifying framework

Study on Routing Protocols for Delay Tolerant Mobile Networks

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