Simulating Opportunistic Networks: Survey and Future Directions

被引：66

作者：

Dede, Jens ^{[1
]}

Foerster, Anna ^{[1
]}

Hernandez-Orallo, Enrique ^{[2
]}

Herrera-Tapia, Jorge ^{[2
,3
]}

Kuladinithi, Koojana ^{[4
]}

Kuppusamy, Vishnupriya ^{[1
]}

Manzoni, Pietro ^{[2
]}

bin Muslim, Anas ^{[1
]}

Udugama, Asanga ^{[1
]}

Vatandas, Zeynep ^{[4
]}

机构：

[1] Univ Bremen, Sustainable Commun Networks, D-28359 Bremen, Germany

[2] Univ Politecn Valencia, Dept Informat Sistemas & Comp, E-46022 Valencia, Spain

[3] Univ Laica Eloy Alfaro Manabi, Fac Comp Sci, EC-130802 Manta, Ecuador

[4] Hamburg Univ Technol, Inst Commun Networks, D-21073 Hamburg, Germany

来源：

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS | 2018年 / 20卷 / 02期

关键词：

Simulation; opportunistic networks; OMNeT plus; the ONE; Adyton; ns-3; SUMO; BonnMotion; mobility models; radio propagation models; traffic models; data propagation; energy consumption models; simulation scalability; MOBILITY MODELS; PERFORMANCE; COMMUNICATION; PREDICTION; TRACES;

D O I：

10.1109/COMST.2017.2782182

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Simulation is one of the most powerful tools we have for evaluating the performance of opportunistic networks (OppNets). In this paper, 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 OppNet simulations and sketch out possible further development and lines of research. This paper is targeted at students starting work and research in this area while also serving as a valuable source of information for experienced researchers.

引用

页码：1547 / 1573

页数：27

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