Publisher DOI: 10.1109/COMST.2017.2782182
arXiv ID: 1712.01905v2
Title: Simulating Opportunistic Networks: Survey and Future Directions
Language: English
Authors: Dede, Jens 
Förster, Anna 
Hernández-Orallo, Enrique 
Herrera-Tapia, Jorge 
Kuladinithi, Koojana  
Kuppusamy, Vishnupriya 
Manzoni, Pietro 
Muslim, Anas bin 
Udugama, Asanga 
Vatandas, Zeynep  
Keywords: Computer Science - Networking and Internet Architecture
Issue Date: 5-Dec-2017
Source: IEEE Communications Surveys and Tutorials 2 (20): 1547-1573 (2017-12-05)
Journal or Series Name: IEEE communications surveys & tutorials 
Abstract (english): Simulation is one of the most powerful tools we have for evaluating the performance of Opportunistic Networks. In this survey, we focus on available tools and models, compare their performance and precision and experimentally show the scalability of different simulators. We also perform a gap analysis of state-of-the-art Opportunistic Network simulations and sketch out possible further development and lines of research. This survey is targeted at students starting work and research in this area while also serving as a valuable source of information for experienced researchers.
ISSN: 1553-877X
Institute: Kommunikationsnetze E-4 
Type: (wissenschaftlicher) Artikel
Project: Opportunistic Networks 
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