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Communication Dans Un Congrès Année : 2022

SIFRAN: Evaluating IoT Networks with a No-Code Framework based on ns-3

Samir Si-Mohammed
  • Fonction : Auteur
  • PersonId : 1152158
Malasri Janumporn
  • Fonction : Auteur
  • PersonId : 1176804
Thomas Begin
Isabelle Guérin Lassous
Pascale Vicat-Blanc
  • Fonction : Auteur
  • PersonId : 1176805

Résumé

With the tremendous ascension of the Internet of Things over the recent years, ns-3 has consolidated its position in terms of popularity among the research community. Indeed, it has become one of the most used open-source network simulators, with an important community of users and contributors. However, the growth of this community is constrained by the networking and programming skills required to use ns-3. This reduces the ns-3 traction within the industrial community, since many IoT specialists lack these skills. In this paper, we present SIFRAN, a no-code framework for IoT networks simulation using ns-3. The main objective of SIFRAN is to extend the use of ns-3 to a community of non-programmers by making them able to benefit from its features without writing a single line of code, and to encourage network experts to contribute to this effort. We show how the framework can be used via a simple web interface for simulating Wi-Fi-and LoRaWAN-based IoT setups, and how the programmers' community of ns-3 can contribute to the framework by adding more IoT network technologies.
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Dates et versions

hal-03822142 , version 1 (20-10-2022)

Identifiants

Citer

Samir Si-Mohammed, Malasri Janumporn, Thomas Begin, Isabelle Guérin Lassous, Pascale Vicat-Blanc. SIFRAN: Evaluating IoT Networks with a No-Code Framework based on ns-3. Latin America Networking Conference, Oct 2022, Armenia, Colombia. ⟨10.1145/3545250.3560845⟩. ⟨hal-03822142⟩
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