The ONE simulator for DTN protocol evaluation

By Ari Keränen, Jörg Ott, Teemu Kärkkäinen. International ICST Conference on Simulation Tools and Techniques, 2009

2,391 citations recorded by the source corpus.

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 show sample simulations to demonstrate the simulator's flexible support for DTN protocol evaluation.

View Paper: https://www.semanticscholar.org/paper/705b986f2078d30a8ee59d11d943f6e9630a906f

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Citations in the corpus

• BonnMotion: a mobility scenario generation and analysis tool (2010, methodology): “one”, which can be used with the ONE simulator [15].”
• Conducting a Large-scale Field Test of a Smartphone-based Communication Network for Emergency Response (2018, methodology): “n and evaluation of works targeting disaster relief, especially when utilizing smartphone-based communication networks. We are currently implementing simulation models based on our traces for The ONE [4] as a starting point for further evaluation. ACKNOWLEDGMENTS This work was supported in part by t”
• Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing (2018, methodology): “We adopt the ONE simulator [40] to conduct system simulation, where mobile devices move along the roads or streets based on Shortest Path Map-Based Movement Model [40] in a downtown Helsinki, Finland.”
• D2D Fogging: An Energy-Efficient and Incentive-Aware Task Offloading Framework via Network-assisted D2D Collaboration (2016, methodology): “We adopt the commonly-adopted Opportunistic Network Environment (ONE) simulator [34] and consider a virtual city zone scenario where users move on the roads to visit the buildings based on the Working Day Movement Model [34], which has been shown to well capture the distributional property of user i”