Cluster aware mobility encounter dataset enlargement

Simple item page
dc.contributor.authorHaldar, Rajarshi
dc.contributor.authorBacanli, Salih Safa
dc.contributor.authorAloqaily, Moayad
dc.contributor.authorMnaouer, Adel Ben
dc.contributor.authorTurgut, Damla
dc.date.accessioned2020-02-02T21:09:06Z
dc.date.available2020-02-02T21:09:06Z
dc.date.copyright2019en_US
dc.date.issued2019
dc.descriptionThis 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.abstractThe 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.citationHaldar, 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.2019.8766720en_US
dc.identifier.isbn9781538677476
dc.identifier.urihttp://dx.doi.org/10.1109/IWCMC.2019.8766720
dc.identifier.urihttps://hdl.handle.net/20.500.12519/101
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relationAuthors 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.ispartofseries2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019;
dc.rightsPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holderCopyright : 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.urihttps://www.ieee.org/publications/rights/rights-policies.html
dc.subjectData processingen_US
dc.subjectDataseten_US
dc.subjectInternet of Things (IoT)en_US
dc.subjectMobilityen_US
dc.subjectSynthetic dataen_US
dc.subjectCarrier mobilityen_US
dc.subjectData processingen_US
dc.subjectMobile computingen_US
dc.subjectStatistical structuresen_US
dc.subjectSynthetic data generationsen_US
dc.subjectData handlingen_US
dc.titleCluster aware mobility encounter dataset enlargementen_US
dc.typeConference Paperen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Access Instruction 101.pdf
Size:
103.99 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Department of Electrical Engineering