Network Diffusion Algorithms and Simulators in IoT and Space IoT: A Systematic Review
Network diffusion algorithms and simulators play a critical role in understanding how information, data, and malware propagate across various network topologies in Internet of Things and Space IoT configurations. This paper conducts a systematic literature review (SLR) of the key diffusion algorithm...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Journal of Sensor and Actuator Networks |
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| Online Access: | https://www.mdpi.com/2224-2708/14/2/27 |
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| author | Charbel Mattar Jacques Bou Abdo Jacques Demerjian Abdallah Makhoul |
| author_facet | Charbel Mattar Jacques Bou Abdo Jacques Demerjian Abdallah Makhoul |
| author_sort | Charbel Mattar |
| collection | DOAJ |
| description | Network diffusion algorithms and simulators play a critical role in understanding how information, data, and malware propagate across various network topologies in Internet of Things and Space IoT configurations. This paper conducts a systematic literature review (SLR) of the key diffusion algorithms and network simulators utilized in studies over the past decade. The review focuses on identifying the algorithms and simulators employed, their strengths and limitations, and how their performance is evaluated under different IoT network topologies. Common network simulators, such as NS-3, Cooja, and OMNeT++ are explored, highlighting their features, scalability, and suitability for different IoT network scenarios. Additionally, network diffusion algorithms, including epidemic, cascading, and threshold models, are analyzed in terms of their effectiveness, complexity, and applicability in IoT environments with diverse network topologies. This SLR aims to provide a comprehensive reference for researchers and practitioners when selecting appropriate tools and methods for simulating and analyzing network diffusion across IoT and Space IoT configurations. |
| format | Article |
| id | doaj-art-169dc61a7d59406ea3df6e5468fcc22f |
| institution | OA Journals |
| issn | 2224-2708 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Sensor and Actuator Networks |
| spelling | doaj-art-169dc61a7d59406ea3df6e5468fcc22f2025-08-20T02:28:15ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082025-03-011422710.3390/jsan14020027Network Diffusion Algorithms and Simulators in IoT and Space IoT: A Systematic ReviewCharbel Mattar0Jacques Bou Abdo1Jacques Demerjian2Abdallah Makhoul3LaRRIS—Laboratoire de Recherche en Réseaux, Informatique et Sécurité, Faculty of Sciences, Lebanese University, Beirut P.O. Box 90656, LebanonSchool of Information Technology, University of Cincinnati, Cincinnati, OH 45221, USALaRRIS—Laboratoire de Recherche en Réseaux, Informatique et Sécurité, Faculty of Sciences, Lebanese University, Beirut P.O. Box 90656, LebanonFEMTO-ST Institute, CNRS, Université Marie et Louis Pasteur, F-25200 Montbéliard, FranceNetwork diffusion algorithms and simulators play a critical role in understanding how information, data, and malware propagate across various network topologies in Internet of Things and Space IoT configurations. This paper conducts a systematic literature review (SLR) of the key diffusion algorithms and network simulators utilized in studies over the past decade. The review focuses on identifying the algorithms and simulators employed, their strengths and limitations, and how their performance is evaluated under different IoT network topologies. Common network simulators, such as NS-3, Cooja, and OMNeT++ are explored, highlighting their features, scalability, and suitability for different IoT network scenarios. Additionally, network diffusion algorithms, including epidemic, cascading, and threshold models, are analyzed in terms of their effectiveness, complexity, and applicability in IoT environments with diverse network topologies. This SLR aims to provide a comprehensive reference for researchers and practitioners when selecting appropriate tools and methods for simulating and analyzing network diffusion across IoT and Space IoT configurations.https://www.mdpi.com/2224-2708/14/2/27cascading modelsCoojadiffusion algorithmsepidemic modelsspace IoTIoT |
| spellingShingle | Charbel Mattar Jacques Bou Abdo Jacques Demerjian Abdallah Makhoul Network Diffusion Algorithms and Simulators in IoT and Space IoT: A Systematic Review Journal of Sensor and Actuator Networks cascading models Cooja diffusion algorithms epidemic models space IoT IoT |
| title | Network Diffusion Algorithms and Simulators in IoT and Space IoT: A Systematic Review |
| title_full | Network Diffusion Algorithms and Simulators in IoT and Space IoT: A Systematic Review |
| title_fullStr | Network Diffusion Algorithms and Simulators in IoT and Space IoT: A Systematic Review |
| title_full_unstemmed | Network Diffusion Algorithms and Simulators in IoT and Space IoT: A Systematic Review |
| title_short | Network Diffusion Algorithms and Simulators in IoT and Space IoT: A Systematic Review |
| title_sort | network diffusion algorithms and simulators in iot and space iot a systematic review |
| topic | cascading models Cooja diffusion algorithms epidemic models space IoT IoT |
| url | https://www.mdpi.com/2224-2708/14/2/27 |
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