On profiling mobility and predicting locations of wireless users

Ghosh, Joy; Beal, Matthew J.; Ngo, Hung Q.; Qiao, Chunming

doi:10.1145/1132983.1132993

Cited by 47 publications

(48 citation statements)

References 18 publications

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“…The existence of such so called mobility profiles, i.e. a set of locations which are important within a certain (periodic) time interval, has been confirmed in real mobility traces [GBNQ06]. Mobile applications may collect and exploit knowledge about the currently active mobility profile.…”

Section: Discussionmentioning

confidence: 93%

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A Mobility Model for the Realistic Simulation of Social Context

Fischer¹

2011

PIK - Praxis Der Informationsverarbeitung Und Kommunikation

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The widespread use of user-carried devices with short-range communication leads to networks characterized by high dynamics, sporadic connectivity, and strong partitioning. In such networks, connectivity between mobile nodes is strongly influenced by sociological aspects. To enable the evaluation of mobile applications which communicate in such networks, we require an appropriate mobility model.In this thesis, we have designed and implemented a mobility model which focuses on the simulation of social context. It takes an arbitrary weighted social network as input and reflects its structural properties in its mobility scheme. Based on this approach, our model allows to integrate recent advances in the research of complex social networks. In addition, we focus on the simulation of different typical human characteristics such as the periodical reappearance at preferred locations and movement in groups. Furthermore, our model allows the integration of mobility models which concentrate on geographical aspects such as modeling obstacles or realistic movement between locations.We provide experimental results that show that our model reflects the input social network with an accuracy of up to 99%. In addition, we show that our model captures the characteristics measured in traces of human mobility, which shows the validity of our approach. The generalizational character of our model enables the fast integration of future research results in the areas of human mobility and complex social networks.i

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Section: Discussionmentioning

confidence: 93%

“…These results confirm the existence of social spheres. Other work aims at actually collecting the social sphere of users by analyzing GPS-based mobility traces [GBNQ06,CHK05].…”

Section: Spatial Regularitymentioning

confidence: 99%

A Mobility Model for the Realistic Simulation of Social Context

Fischer¹

2011

PIK - Praxis Der Informationsverarbeitung Und Kommunikation

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“…We obtain the APs' location popularityη i = j =i η j,i (∀i ∈ K S ) based on the the realistic mobility data in [32]. Figure 8 shows the relationship between network access evaluation parameter and location popularity parameter.…”

Section: The Operator's Revenuementioning

confidence: 99%

Economic Analysis of Crowdsourced Wireless Community Networks

Gao

Liu

et al. 2017

IEEE Trans. on Mobile Comput.

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Abstract-Crowdsourced wireless community networks can effectively alleviate the limited coverage issue of Wi-Fi access points (APs), by encouraging individuals (users) to share their private residential Wi-Fi APs with others. In this paper, we provide a comprehensive economic analysis for such a crowdsourced network, with the particular focus on the users' behavior analysis and the community network operator's pricing design. Specifically, we formulate the interactions between the network operator and users as a two-layer Stackelberg model, where the operator determining the pricing scheme in Layer I, and then users determining their Wi-Fi sharing schemes in Layer II. First, we analyze the user behavior in Layer II via a two-stage membership selection and network access game, for both small-scale networks and large-scale networks. Then, we design a partial price differentiation scheme for the operator in Layer I, which generalizes both the complete price differentiation scheme and the single pricing scheme (i.e., no price differentiation). We show that the proposed partial pricing scheme can achieve a good tradeoff between the revenue and the implementation complexity. Numerical results demonstrate that when using the partial pricing scheme with only two prices, we can increase the operator's revenue up to 124.44% comparing with the single pricing scheme, and can achieve an average of 80% of the maximum operator revenue under the complete price differentiation scheme.

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“…There is a gap between the performance of VCD and full replication, since the Internet bottleneck prevents complete replication of all the required files. [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40] and is interested in files 1-20. Both AP1 and AP2 lack Internet and mesh connectivity.…”

Section: Testbed Experimentsmentioning

confidence: 99%

“…In particular, [42] compares various predictors in literature and suggests that 2nd order Markov with a simple fallback mechanism (when there is no prediction) performs well. [22] builds mobility profiles for users and statistically predicts the next social hub the user will visit. [35] builds the user's customized mobility models on the devices themselves, and uses a second order Markov model to predict the connection opportunity and its quality of the device with an AP.…”

Section: Related Workmentioning

confidence: 99%

Enabling high-bandwidth vehicular content distribution

Shevade

Chen

Qiu

et al. 2010

Proceedings of the 6th International COnference

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-We present VCD, a novel system for enabling high-bandwidth content distribution in vehicular networks. In VCD, a vehicle opportunistically communicates with nearby access points (APs) to download the content of interest. To fully take advantage of such transient contact with APs, we proactively push content to the APs that the vehicles will likely visit in the near future. In this way, vehicles can enjoy the full wireless capacity instead of being bottlenecked by the Internet connectivity, which is either slow or even unavailable. We develop a new algorithm for predicting the APs that will soon be visited by the vehicles. We then develop a replication scheme that leverages the synergy among (i) Internet connectivity (which is persistent but has limited coverage and low bandwidth), (ii) local wireless connectivity (which has high bandwidth but transient duration), (iii) vehicular relay connectivity (which has high bandwidth but high delay), and (iv) mesh connectivity among APs (which has high bandwidth but low coverage). We demonstrate the effectiveness of VCD system using trace-driven simulation and Emulab emulation based on real taxi traces. We further deploy VCD in two vehicular networks: one using 802.11b and the other using 802.11n, to demonstrate its effectiveness.

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On profiling mobility and predicting locations of wireless users

Cited by 47 publications

References 18 publications

A Mobility Model for the Realistic Simulation of Social Context

A Mobility Model for the Realistic Simulation of Social Context

Economic Analysis of Crowdsourced Wireless Community Networks

Enabling high-bandwidth vehicular content distribution

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