On modeling and impact of geographic restrictions for human mobility in opportunistic networks

DC FieldValueLanguage
dc.contributor.authorSchwamborn, Matthias
dc.contributor.authorAschenbruck, Nils
dc.date.accessioned2021-12-23T16:14:00Z-
dc.date.available2021-12-23T16:14:00Z-
dc.date.issued2019
dc.identifier.issn01665316
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/10860-
dc.description.abstractHuman mobility has been shown to have a significant impact on the performance evaluation in Opportunistic Networks. As shown in previous work, the integration of geographic restrictions is (1) a further step towards more credibility of Opportunistic Network simulative performance evaluation, and (2) influences relevant metrics, such as contact duration and number of contacts. In this paper, modeling challenges related to geographic restrictions are in our focus. We investigate the impact of the road network underlying the scenario's map extract. The diversity in road network structure has less impact on the Inter Contact Times but causes considerably shorter and less contacts for dense road networks. This makes dense road networks an especially challenging urban scenario for forwarding algorithm performance evaluation. As integrating geographic restrictions is an additional effort, we examine the runtime for trace generation and contact computation. It increases significantly but should be accepted as a trade-in for more realistic and credible modeling. (C) 2018 Elsevier B.V. All rights reserved.
dc.description.sponsorshipGerman Research Foundation (Deutsche Forschungsgemeinschaft, DFG)German Research Foundation (DFG) [AS341/3-1]; Stifterverband fur die Deutsche Wissenschaft, Germany [H170 5701 5020 20951]; The authors would like to thank the anonymous reviewers for their invaluable comments and suggestions that helped improving the paper. Furthermore, the authors thank Jan-Henrik Haunert of the Institute of Geodesy and Geoinformation at the University of Bonn for helpful discussions and insight on geodesy issues. Also, thanks to Hanna Doting and Carina Betken of the Institute of Mathematics at Osnabruck University for their help and feedback on more formal aspects of the modeling. This work was supported in part by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG), Project No. AS341/3-1 as well as the ``Stifterverband fur die Deutsche Wissenschaft, Germany'' (H170 5701 5020 20951).
dc.language.isoen
dc.publisherELSEVIER
dc.relation.ispartofPERFORMANCE EVALUATION
dc.subjectALGORITHMS
dc.subjectCHALLENGES
dc.subjectComputer Science
dc.subjectComputer Science, Hardware & Architecture
dc.subjectComputer Science, Theory & Methods
dc.subjectGeographic restrictions
dc.subjectHuman mobility
dc.subjectMobility modeling
dc.subjectOpportunistic networks
dc.subjectRoad networks
dc.titleOn modeling and impact of geographic restrictions for human mobility in opportunistic networks
dc.typejournal article
dc.identifier.doi10.1016/j.peva.2018.12.002
dc.identifier.isiISI:000460854800002
dc.description.volume130
dc.description.startpage17
dc.description.endpage31
dc.contributor.orcid0000-0002-7343-4243
dc.identifier.eissn1872745X
dc.publisher.placeRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
dcterms.isPartOf.abbreviationPerform. Eval.
crisitem.author.orcid0000-0002-5861-8896-
crisitem.author.netidAsNi712-
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