Simulating mobility and DTNs with the ONE

被引：90

作者：

Keränen A. ^{[1
]}

Kärkkäinen T. ^{[1
]}

Ott J. ^{[1
]}

机构：

[1] Aalto University School of Science and Technology, Department of Communications and Networking

来源：

Journal of Communications | 2010年 / 5卷 / 02期

关键词：

Delay-tolerant networking; Mobility; Performance evaluation; Simulation;

D O I：

10.4304/jcm.5.2.92-105

中图分类号：

学科分类号：

摘要：

Delay-tolerant Networking (DTN) enables communication in sparse mobile ad-hoc networks and other challenged environments where traditional networking fails and new routing and application protocols are required. Past experience with DTN routing and application protocols has shown that their performance is highly dependent on the underlying mobility and node characteristics. Evaluating DTN protocols across many scenarios requires suitable simulation tools. This paper presents the Opportunistic Networking Environment (ONE) simulator specifically designed for evaluating DTN routing and application protocols. It allows users to create scenarios based upon different synthetic movement models and real-world traces and offers a framework for implementing routing and application protocols (already including six well-known routing protocols). Interactive visualization and post-processing tools support evaluating experiments and an emulation mode allows the ONE simulator to become part of a real-world DTN testbed. We examine a range of published simulation studies which demonstrate the simulator's flexible support for DTN protocol evaluation. © 2010 Academy Publisher.

引用

页码：92 / 105

页数：13

共 35 条

[1]

Bettstetter C., Smooth is better than sharp: A random mobility model for simulation of wireless networks, Proc. of Acm Mswim (july 2001)

[2]

Boudec J.-Y. L., Vojnovic M., Perfect Simulation and Stationarity of a Class of Mobility Models, Proc. of IEEE Infocom, (2005)

[3]

Burgess J., Gallagher B., Jensen D., Levine B.N., MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks, Proceedings of IEEE Infocom (april 2006)

[4]

Camp T., Boleng J., Davies V.A., Survey of Mobility Models for Ad Hoc Network Research. Wireless Communications & Mobile Computing (WCMC): Special issue on Mobile Ad Hoc Networking: Research, Trends and Applications, 2, 5, pp. 483-502, (2002)

[5]

Cerf V., Burleigh S., Hooke A., Torgerson L., Durst R., Scott K., Fall K., Weiss H., Delay-Tolerant Network Architecture, RFC, (2007)

[6]

Choffnes D.R., Bustamante F.E., An integrated mobility and traffic model for vehicular wireless networks, Proc. of The 2nd Acm International Workshop On Vehicular Adhoc Networks, (2005)

[7]

Daniel Grgen H.F., Hiedels C.J., The Java Ad Hoc Network Development Environment, Proc. of The 40th Annual Simulation Symposium (ANSS), (2007)

[8]

Eagle N., Pentland A.S., Reality mining: Sensing complex social systems, Personal Ubiquitous Computing, 10, 4, pp. 255-268, (2006)

[9]

Ekman F., Keranen A., Karvo J., Ott J., Working Day Movement Model, Proc. 1st Acm/sigmobile Workshop On Mobility Models For Networking Research (may 2008)

[10]

Fall K., A Delay Tolerant Network Architecture for Challenged Internets, Proc. of Acm Sigcomm, (2003)

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