Software-Defined LANs for Interconnected Smart Environment

Boussard, Mathieu; Bui, Dinh Thai; Ciavaglia, Laurent; Douville, Richard; Pallec, Michel Le; Sauze, Nicolas Le; Noirie, Ludovic; Papillon, Serge; Peloso, Pierre; Santoro, Francesco

doi:10.1109/itc.2015.33

Cited by 35 publications

(20 citation statements)

References 21 publications

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“…Once a connection is authorized, the corresponding flow tables are installed in the switch. Fine-grained control of flows enhances security and privacy [51].…”

Section: Wireless Isolation For Iot;mentioning

confidence: 99%

Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives

Ding

et al. 2020

Sensors

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The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning time, underused resources, as well as complexity, isolation and scalability, among others. One fundamental concern is that current IoT networks lack flexibility and intelligence. A network-wide flexible control and management are missing in IoT networks. In addition, huge numbers of devices and large amounts of data are involved in IoT, but none of them have been tuned for supporting network management and control. In this paper, we argue that Software-defined Networking (SDN) together with the data generated by IoT applications can enhance the control and management of IoT in terms of flexibility and intelligence. We present a review for the evolution of SDN and IoT and analyze the benefits and challenges brought by the integration of SDN and IoT with the help of IoT data. We discuss the perspectives of knowledge-driven SDN for IoT through a new IoT architecture and illustrate how to realize Industry IoT by using the architecture. We also highlight the challenges and future research works toward realizing IoT with the knowledge-driven SDN.

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“…Once a connection is authorized, the corresponding flow tables are installed in the switch. Fine-grained control of flows enhances security and privacy [51].…”

Section: Wireless Isolation For Iot;mentioning

confidence: 99%

Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives

Ding

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…This plan is obtained considering the composition as a directed graph (objects as nodes and bindings as edges) and applying topological sorting in order to extract the sequence of operations to apply. Given such a plan, the tool is interfaced with Majord'Home [6], [7], a modular IoT platform to deploy IoT applications. Majord'Home follows the Software Defined Network (SDN) [8] paradigm, which offers simplified interfaces for the network configuration of IoT services involving multiple smart environments.…”

Section: Iot Composermentioning

confidence: 99%

IoT Composer: Composition and Deployment of IoT Applications

Krishna

Pallec

Mateescu

et al. 2019

2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

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The Internet of Things (IoT) consists of interconnected physical devices and software components. These connected things or objects exchange information in order to provide an end-user service. To fulfil this objective, such applications have to be designed by composing existing objects. However, this is a very difficult task mostly due to the heterogeneity and diversity of available objects. The IoT Composer tool was developed for supporting the development of IoT applications by first providing a behavioural model for objects and their composition. IoT Composer is developed as a web application that provides graphical support for composing available objects. The tool also provides automated validation techniques for verifying that the composition behaves correctly. Finally, a deployment plan is generated and can be run for effectively binding and instantiating all objects involved in the composition. IoT Composer was applied successfully to several real-world case studies.

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“…For each set of bindings between a pair of objects, a Software-Defined LAN (SD-LAN) is set up by configuring the Residential Gateways. Using this setup, COs spread across different smart environments can communicate as they were in a same smart environment [15]. Additionally, the SD-LAN solution allows a CO to interact with different IoT services yet preserves the network isolation and discovery properties.…”

Section: A Iot Service Assistantmentioning

confidence: 99%

Rigorous Design and Deployment of IoT Applications

Krishna

Pallec²,

Mateescu³

et al. 2019

2019 IEEE/ACM 7th International Conference on Formal Methods in Software Engineering (FormaliSE)

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Internet connected devices are becoming increasingly common in consumer homes. These devices combined with software entities are used to build Internet of Things (IoT) applications. As democratization of IoT takes shape, developing reliable IoT applications remains a challenge for consumers because these applications exhibit characteristics such as distribution, dynamicity, and heterogeneity, which make their design, development and maintenance difficult. In this paper, we use formal methods to ensure correct composition of objects and propose a reliable deployment mechanism in the context of an IoT application. Objects are modelled using an interface description model integrating a behavioural specification of the object functionality. We provide formal validation techniques for verifying that the composition is correct. A deployment plan is generated for automating the instantiation of all objects involved in a valid composition. All the proposals have been implemented as a prototype tool and experiments were carried out for evaluating the tool performance and usability.

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Software-Defined LANs for Interconnected Smart Environment

Cited by 35 publications

References 21 publications

Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives

Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives

IoT Composer: Composition and Deployment of IoT Applications

Rigorous Design and Deployment of IoT Applications

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