Cluster aware mobility encounter dataset enlargement

dc.contributor.author Haldar, Rajarshi
dc.contributor.author Bacanli, Salih Safa
dc.contributor.author Aloqaily, Moayad
dc.contributor.author Mnaouer, Adel Ben
dc.contributor.author Turgut, Damla
dc.date.accessioned 2020-02-02T21:09:06Z
dc.date.available 2020-02-02T21:09:06Z
dc.date.copyright 2019 en_US
dc.date.issued 2019
dc.description This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC) (2019), available online at: https://ieeexplore.ieee.org/document/8766720. en_US
dc.description.abstract The recent emerging fields in data processing and manipulation has facilitated the need for synthetic data generation. This is also valid for mobility encounter dataset generation. Synthetic data generation might be useful to run research-based simulations and also create mobility encounter models. Our approach in this paper is to generate a larger dataset by using a given dataset which includes the clusters of people. Based on the cluster information, we created a framework. Using this framework, we can generate a similar dataset that is statistically similar to the input dataset. We have compared the statistical results of our approach with the real dataset and an encounter mobility model generation technique in the literature. The results showed that the created datasets have similar statistical structure with the given dataset. © 2019 IEEE. en_US
dc.identifier.citation Haldar, R., Bacanli, S. S., Aloqaily, M., Mnaouer, A. B., & Turgut, D. (2019). Cluster aware mobility encounter dataset enlargement. In 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019 (pp. 1918–1922). https://doi.org/10.1109/IWCMC.2019.8766720 en_US
dc.identifier.isbn 9781538677476
dc.identifier.uri http://dx.doi.org/10.1109/IWCMC.2019.8766720
dc.identifier.uri https://hdl.handle.net/20.500.12519/101
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation Authors Affiliations: Haldar, R., University of Illinois Urbana-Champaign, Champaign, IL, United States; Bacanli, S.S., Department of Computer Science, University of Central Florida, Orlando, FL, United States; Aloqaily, M., Gnowit Inc., Ottawa, Canada; Mnaouer, A.B., Canadian University of Dubai, United Arab Emirates; Turgut, D., Department of Computer Science, University of Central Florida, Orlando, FL, United States
dc.relation.ispartofseries 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019;
dc.rights Permission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holder Copyright : 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.uri https://www.ieee.org/publications/rights/rights-policies.html
dc.subject Data processing en_US
dc.subject Dataset en_US
dc.subject Internet of Things (IoT) en_US
dc.subject Mobility en_US
dc.subject Synthetic data en_US
dc.subject Carrier mobility en_US
dc.subject Data processing en_US
dc.subject Mobile computing en_US
dc.subject Statistical structures en_US
dc.subject Synthetic data generations en_US
dc.subject Data handling en_US
dc.title Cluster aware mobility encounter dataset enlargement en_US
dc.type Conference Paper en_US
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