Can SDN Technology Be Transported to Software-Defined WSN/IoT?

Nguyen, Thi Minh Chau; Hoang, Doan B.; Chaczko, Zenon

doi:10.1109/ithings-greencom-cpscom-smartdata.2016.63

Cited by 11 publications

(8 citation statements)

References 23 publications

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“…This is the enhanced extension of first study [1] of the controller placement and switch assignment problem, focusing exclusively on the minimization of the required bandwidth for the total control traffic. We focus exclusively on this optimization objective, since we want to analyze the effects of the contradictory tendencies of either centralizing or distributing the control plane, on the volume of the control traffic, as it is outlined in [4]. Differently to our previous study [1], we introduce two additional heuristic algorithms, with enhanced performance, at a cost of slightly more computation time (more details in Section 6).…”

Section: Related Workmentioning

confidence: 99%

“…Although the existing literature mainly proposes controller placements that minimize the time delays for the Ctr-Sw traffic, this paper considers the controller placement effect on the total control traffic (both Ctr-Ctr and Ctr-Sw) and aims at its minimization. Additionally, from an architectural point of view, the primary concern of SDN-based IoT should be whether its controller placement is distributed or centralized, since it significantly impacts the network performance in terms of energy consumption, scalability and reliability [4].…”

Section: Introductionmentioning

confidence: 99%

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SDN Controller Placement and Switch Assignment for Low Power IoT

et al. 2020

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Software defined networking (SDN) complements low power Internet of Things (IoT), since the former offers dynamicity and the latter is susceptible to environmental changes. The SDN controller placement refers to the selection of the IoT sensors running the controllers, while the switch assignment is the process of mapping each sensor to a controller. Both choices affect the volume of the control traffic, a significant metric in low power wireless IoT networks where bandwidth is scarce or energy consumption is important. In this paper, we model an optimization problem for minimum control traffic, assess its complexity and devise a set of heuristic algorithms for expediting its solution. We initially present a fast and simple heuristic algorithm, which is then extended to two iterative algorithms with even better performance at the cost of time complexity. Our simulations and testbed experimentation reveal close to optimal performance of all heuristic solutions with significantly less computation time than explicitly solving the optimization problem. At the end, we provide insights for further enhancements of these heuristics with a bias for minimum control delay.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SDN Controller Placement and Switch Assignment for Low Power IoT

et al. 2020

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“…However, to achieve this; requires a combination of high levels of system configuration and acute computational strategies. In the work by Nguyen et al (2016) OpenFlow and SDN strategies were commended as potential solutions to deal with challenges experienced in wireless and switched networks towards the effort of realizing standard IoT platforms.…”

Section: Background and Related Workmentioning

confidence: 99%

Flexible network management and application service adaptability in software defined wireless sensor networks

Modieginyane

Malekian

Letswamotse

2018

J Ambient Intell Human Comput

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The need for highly responsive and adaptable computing systems is essential in today's network computing age. This is principally due to the drastic evolution in broad computing platforms operating at highly descriptive and abstracted mediums such as; reconfigurable computing systems, smart automation systems, cognitive and parallel programming systems which communicate using very complex resources or modes. Hence, such systems must incorporate the best forms of technologies to cater for the rapidly growing and heterogeneously connected platforms such as with Internet of Things (IoT). However, to effectively manage these network platforms with such high-end computing resources, requires a well-structured and carefully implemented systems. This work implements a Software Defined Wireless Sensor Network (SDWSN) approach coupled with Discrete Event Simulation (DES) and a highly extensible and scalable Software Defined Networking (SDN) controller-OpenDayLight (ODL), to implement a software-oriented network environment to increase network service adaptability and simplify network management. The implemented approach uses the ODL's Model-Driven Service Abstraction Layer (MD-SAL) to facilitate the forwarding layer by applying state procedures to manage flow rules and introduce software-oriented network services. Experimental results indicate that in this approach, the traffic flow routing is significantly improved, with reduced transmission delays and that the underlying sensor nodes uses less energy since energy demanding tasks are performed on the controller.

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“…Efforts have been made to extend the SDN principles to WSNs [2], but they do not pay much attention to the controller, the sensors, or the API between them. Most try to reuse the OpenFlow with minor modifications and with little consideration of the WSN environment.…”

Section: Related Workmentioning

confidence: 99%

“…The architecture is designed in the spirit of Software-Defined Networking (SDN) and Network Function Virtualization (NFV) principles. SDN paradigm is beneficial to WSNs in terms of energy efficiency, efficient network utilization and services deployments, network programmability and innovation, routing protocol, and cloud integration [2]. It allows the WSN system to be managed and controlled by software autonomously through the programmability of the controller and underlying devices.…”

Section: Introductionmentioning

confidence: 99%

Toward a programmable software-defined IoT architecture for sensor service provision on demand

Nguyen

Hoang

Dang

2017

2017 27th International Telecommunication Networks and Applications Conference (ITNAC)

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Abstract-In the age of Internet of Things (IoT), sensors form a foundational component of IoT services, yet they are rigid with little capability for programmable configuration or reusability as they are application-specific, manufacturer-specific. Emerging IoT applications often deploy a vast number of sensors which may serve multiple applications. Programmability is thus essential but not found in legacy or current generation sensors. It is challenging to effectively utilize heterogeneity of resources to handle a large number of application demands. Software defined networking and network functions virtualization have proved effective paradigms for provisioning services on-demand and managing network functions and their life cycles. This paper proposes a software defined IoT architecture that captures the spirit of SDN and NFV where a software-defined Internet of Things (SD-IoT) controller can provide services as requested by an application and also manage heterogeneous physical sensors through their virtual representation called software-defined virtual sensor (SD-VSensor) autonomously. In particular, the paper presents the design of a streamline SD-IoT controller, a lightweight and reconfigurable SD-VSensor, and the communication protocol (S-MANAGE) between them. The proposed architecture enables heterogeneous applicationspecific WSN systems to be recognized and effectively utilized by diverse IoT applications under the orchestration of the SD-IoT controller. Moreover, heterogeneity of sensor nodes or IoT devices can be programmed to achieve sensor services on demand. The preliminary implementation results demonstrate the feasibility and efficiency of the proposed architecture.

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Can SDN Technology Be Transported to Software-Defined WSN/IoT?

Cited by 11 publications

References 23 publications

SDN Controller Placement and Switch Assignment for Low Power IoT

SDN Controller Placement and Switch Assignment for Low Power IoT

Flexible network management and application service adaptability in software defined wireless sensor networks

Toward a programmable software-defined IoT architecture for sensor service provision on demand

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