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2022-12-06
Han, May Pyone, Htet, Soe Ye, Wuttisttikulkij, Lunchakorn.  2022.  Hybrid GNS3 and Mininet-WiFi Emulator for SDN Backbone Network Supporting Wireless IoT Traffic. 2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC). :768-771.

In the IoT (Internet of Things) domain, it is still a challenge to modify the routing behavior of IoT traffic at the decentralized backbone network. In this paper, centralized and flexible software-defined networking (SDN) is utilized to route the IoT traffic. The management of IoT data transmission through the SDN core network gives the chance to choose the path with the lowest delay, minimum packet loss, or hops. Therefore, fault-tolerant delay awareness routing is proposed for the emulated SDN-based backbone network to handle delay-sensitive IoT traffic. Besides, the hybrid form of GNS3 and Mininet-WiFi emulation is introduced to collaborate the SDN-based backbone network in GNS3 and the 6LoWPAN (IPv6 over Low Power Personal Area Network) sensor network in Mininet-WiFi.

Buzura, Sorin, Dadarlat, Vasile, Peculea, Adrian, Bertrand, Hugo, Chevalier, Raphaël.  2022.  Simulation Framework for 6LoWPAN Networks Using Mininet-WiFi. 2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR). :1-5.

The Internet of Things (IoT) continuously grows as applications require connectivity and sensor networks are being deployed in multiple application domains. With the increased applicability demand, the need for testing and development frameworks also increases. This paper presents a novel simulation framework for testing IPv6 over Low Power Wireless Personal Networks (6LoWPAN) networks using the Mininet-WiFi simulator. The goal of the simulation framework is to allow easier automation testing of large-scale networks and to also allow easy configuration. This framework is a starting point for many development scenarios targeting traffic management, Quality of Service (QoS) or security network features. A basic smart city simulation is presented which demonstrates the working principles of the framework.