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Opportunistic Communication and Human Mobility
KTH, School of Electrical Engineering (EES), Communication Networks. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Networks. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-9176-3454
KTH, School of Electrical Engineering (EES), Communication Networks. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3704-1338
2014 (English)In: IEEE Transactions on Mobile Computing, ISSN 1536-1233, E-ISSN 1558-0660, Vol. 13, no 7, 1597-1610 p.Article in journal (Refereed) Published
Abstract [en]

Many mobility models currently used for evaluating wireless communication systems have weak resemblance to reality and there is a lack of understanding on which characteristics of human mobility affect system performance. In particular, most current mobility models assume a free flow of nodes and do not consider how mobility is affected by interactions with other persons and with the physical environment. They also assume a closed system, not considering the effect of node arrival and departure. The structure of space in which the mobility occurs is either not considered at all, or only in a limited way. In this work, we address human pedestrian mobility for evaluation of wireless communication to determine which of the aforementioned aspects need to be captured and to what level of detail. We focus on opportunistic communication in the form of ad-hoc and delay-tolerant networks. For the evaluation, we use mobility models from the field of transportation and urban planning that are used for designing and dimensioning public spaces for comfort and safety of pedestrians in rush hour and emergency evacuation. The models capture micro-mobility of pedestrians better than most mobility models used in mobile networking since the application domain requires realistic representation of node interactions with the physical environment and with other nodes. Our results show that the free flow assumption used in most models does not have a significant performance impact. We also conclude that performance is not very sensitive to accurate estimation of the probability distributions of mobility parameters such as speed and arrival process. Our results, however, suggest that it is important to capture the scenario and space in which mobility occurs since these may affect performance significantly.

Place, publisher, year, edition, pages
2014. Vol. 13, no 7, 1597-1610 p.
Keyword [en]
Mobility models, opportunistic networking, wireless systems
National Category
Communication Systems
URN: urn:nbn:se:kth:diva-149212DOI: 10.1109/TMC.2013.160ISI: 000339169100016ScopusID: 2-s2.0-84903788775OAI: diva2:738731

QC 20140819

Available from: 2014-08-19 Created: 2014-08-18 Last updated: 2015-11-20Bibliographically approved
In thesis
1. System Design for Opportunistic Networks
Open this publication in new window or tab >>System Design for Opportunistic Networks
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Device-to-device communication has been suggested as a complement to traditional cellular networks as a means of offloading cellular traffic. In this thesis we explore a solution for device-to-device communication based on opportunistic content distribution in a content-centric network. Communication opportunities arise as mobile nodes roam around in an area and occasionally enter in direct communication range with one another. We consider a node to be a pedestrian equipped with a mobile device and explore the properties of opportunistic communication in the context of content dissemination in urban areas.

The contributions of this thesis lie in three areas. We first study human mobility as one of the main enablers of opportunistic communication. We introduce traces collected from a realistic pedestrian mobility simulator and demonstrate that the performance of opportunistic networks is not very sensitive to the accurate estimation of the probability distributions of mobility parameters. However, capturing the space in which mobility occurs may be of high importance. Secondly, we design and implement a middleware for opportunistic content-centric networking, and we evaluate it via a small-scale testbed, as well as through extensive simulations. We conclude that energy-saving mechanisms should be part of the middleware design, while caching should be considered only as an add-on feature. Thirdly, we present and evaluate three different energy-saving mechanisms in the context of opportunistic networking: a dual-radio architecture, an asynchronous duty-cycling scheme, and an energy-aware algorithm which takes into account node selfishness. We evaluate our proposals analytically and via simulations. We demonstrate that when a critical mass of participants is available, the performance of the opportunistic network is comparable to downloading contents directly via the cellular network in terms of energy consumption while offloading large traffic volumes from the operator.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2015. vi, 59 p.
TRITA-EE, ISSN 1653-5146 ; 2015:104
opportunistic communication, system design, mobility, energy-saving mechanisms, device-to-device communication, mobile data offloading
National Category
Research subject
Electrical Engineering
urn:nbn:se:kth:diva-176479 (URN)978-91-7595-778-4 (ISBN)
Public defence
2015-12-11, Sal F3, Lindstedtsvägen 26, KTH, Stockholm, 09:00 (English)

QC 20151120

Available from: 2015-11-20 Created: 2015-11-05 Last updated: 2015-12-11Bibliographically approved

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Helgason, ÓlafurKouyoumdjieva, Sylvia T.Karlsson, Gunnar
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