Simulation Framework for 6LoWPAN Networks Using Mininet-WiFi

Buzura, Sorin; Dadarlat, Vasile; Peculea, Adrian; Bertrand, Hugo; Chevalier, Raphaël

doi:10.1109/aqtr55203.2022.9802017

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…Generally speaking, so-called lightweight virtualization (LV) is used for isolating virtual nodes, allowing them to coexist in the same host. Mininet/Mininet-WiFi [9,10] and IMUNES [11] are well-known examples of such an approach, targeting IP-based communication protocols. In particular, the latest Linuxbased IMUNES release generalizes LV exploiting Docker-based containers.…”

Section: Related Workmentioning

confidence: 99%

End-to-End Emulation of LoRaWAN Architecture and Infrastructure in Complex Smart City Scenarios Exploiting Containers

Gaffurini,

Flammini,

Ferrari

et al. 2024

Sensors

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In a LoRaWAN network, the backend is generally distributed as Software as a Service (SaaS) based on container technology, and recently, a containerized version of the LoRaWAN node stack is also available. Exploiting the disaggregation of LoRaWAN components, this paper focuses on the emulation of complex end-to-end architecture and infrastructures for smart city scenarios, leveraging on lightweight virtualization technology. The fundamental metrics to gain insights and evaluate the scaling complexity of the emulated scenario are defined. Then, the methodology is applied to use cases taken from a real LoRaWAN application in a smart city with hundreds of nodes. As a result, the proposed approach based on containers allows for the following: (i) deployments of functionalities on diverse distributed hosts; (ii) the use of the very same SW running on real nodes; (iii) the simple configuration and management of the emulation process; (iv) affordable costs. Both premise and cloud servers are considered as emulation platforms to evaluate the resource request and emulation cost of the proposed approach. For instance, emulating one hour of an entire LoRaWAN network with hundreds of nodes requires very affordable hardware that, if realized with a cloud-based computing platform, may cost less than USD 1.

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Section: Related Workmentioning

confidence: 99%

End-to-End Emulation of LoRaWAN Architecture and Infrastructure in Complex Smart City Scenarios Exploiting Containers

Gaffurini,

Flammini,

Ferrari

et al. 2024

Sensors

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show abstract

“…nodes. Mininet can simulate and test SDN, Wireless Personal Networks (WPANs), and fiber optic applications[90][91]. Mininet is primarily designed for simulating SDNs and traditional computer networks.…”

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confidence: 99%

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

Adday,

Subramaniam,

Zukarnain

et al. 2024

IEEE Access

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Wireless Sensor Networks (WSNs) serve as the backbone for the Internet of Things (IoT) and smart cities, enabling the gathering of essential data and vital information. The widespread deployment of sensors created new scenarios that presented new domains for various applications. Due to their numerous advantages, WSN's simulators are still gaining considerable attention as the primary method for testing and evaluating new protocols and approaches for WSN. The scientific community has developed various simulators, some tailored explicitly for WSNs and others for general use. In addition, an old but renovated direction has been enormously grown recently, representing the researcher's attention to building its own simulator. However, many researchers struggle to select the most appropriate tool for performance analysis, which requires extensive research into available options. Choosing a suitable simulator to meet the necessary simulation criteria necessitates exhaustive research into the available options. The published studies on WSN's simulators have limitations, such as the limited number of simulators under examination, ignoring the essential functions of the simulators, and inadequate performance criteria for precise comparison. To get beyond these restrictions in previous studies and offer a fresh study that compares the simulation tools comprehensively, an analysis of thirty-three different simulators was conducted based on a new taxonomy. Furthermore, this study examines the advantages and constraints of each simulator regarding many specific academic areas in WSNs. Moreover, the study presented a detailed comparison among the performance analysis tools according to many famous performance metrics.

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An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning

Jinqiang

Huang

et al. 2023

IEEE Access

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Simulation Framework for 6LoWPAN Networks Using Mininet-WiFi

Cited by 4 publications

References 10 publications

End-to-End Emulation of LoRaWAN Architecture and Infrastructure in Complex Smart City Scenarios Exploiting Containers

End-to-End Emulation of LoRaWAN Architecture and Infrastructure in Complex Smart City Scenarios Exploiting Containers

Investigating and Analyzing Simulation Tools of Wireless Sensor Networks: A Comprehensive Survey

An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning

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