Towards a software-defined Network Operating System for the IoT

Anadiotis, Angelos-Christos G.; Galluccio, Laura; Milardo, Sebastiano; Morabito, Giacomo; Palazzo, Sergio

doi:10.1109/wf-iot.2015.7389118

Cited by 41 publications

(15 citation statements)

References 10 publications

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“…While technically not full SDN, the research community is currently investigating several management interfaces (e.g., COMI [75], LWM2M [76]), network operating systems (e.g., ONOS [77]) and configuration languages (e.g., YANG [53]) for enabling management and control on top of LLNs. One example of this is shown in Anadiotis et al [78], where the feasibility of evolving ONOS for supporting SDN-WISE is proved. Many other solutions often focus on application oriented configuration, while Whisper focuses on the network management aspects.…”

Section: Whisper Roadmapmentioning

confidence: 99%

Whisper: Programmable and Flexible Control on Industrial IoT Networks

Municio

Marquez-Barja

Latré

et al. 2018

Sensors

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Software Defined Networking (SDN) centralizes network control to improve network programmability and flexibility. Contrary to wired settings, it is unclear how to support SDN in low power and lossy networks like typical Internet of Things (IoT) ones. Challenges encompass providing reliable in-band connectivity between the centralized controller and out-of-range nodes, and coping with physical limitations of the highly resource-constrained IoT devices. In this work, we present Whisper, an enabler for SDN in low power and lossy networks. The centralized Whisper controller of a network remotely controls nodes’ forwarding and cell allocation. To do so, the controller sends carefully computed routing and scheduling messages that are fully compatible with the protocols run in the network. This mechanism ensures the best possible in-band connectivity between the controller and all network nodes, capitalizing on an interface which is already supported by network devices. Whisper’s internal algorithms further reduce the number of messages sent by the controller, to make the exerted control as lightweight as possible for the devices. Beyond detailing Whisper’s design, we discuss compelling use cases that Whisper unlocks, including rerouting around low-battery devices and providing runtime defense to jamming attacks. We also describe how to implement Whisper in current IoT open standards (RPL and 6TiSCH) without modifying IoT devices’ firmware. This shows that Whisper can implement an SDN-like control for distributed low power networks with no specific support for SDN, from legacy to next generation IoT devices. Our testbed experiments show that Whisper successfully controls the network in both the scheduling and routing plane, with significantly less overhead than other SDN-IoT solutions, no additional latency and no packet loss.

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Section: Whisper Roadmapmentioning

confidence: 99%

Whisper: Programmable and Flexible Control on Industrial IoT Networks

Municio

Marquez-Barja

Latré

et al. 2018

Sensors

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“…ONOS is based on Floodlight, but it is distributed and provides an extensible, layered architecture, in order to integrate other devices and protocols, besides OpenFlow, which is inherently supported. In fact, ONOS has been considered in the context of this work, due to its scalability properties and its highly modular architecture, which allows the seamless integration of wireless sensor devices, as has been shown in [18]. In this work, we extend ONOS in order to support network function virtualization and enforce regulatory compliance in wireless sensor nodes.…”

Section: Related Workmentioning

confidence: 99%

SD-WISE: A Software-Defined WIreless SEnsor network

et al. 2019

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SD-WISE is a complete software-defined solution for wireless sensor (and actuator) networks (WSNs). SD-WISE has several unique features making it a flexible and expandable solution that can be applied in heterogeneous application domains. Its fundamental feature is that it provides software abstractions of the nodes' resources on both the controller and the nodes sides. By leveraging these abstractions, SD-WISE (i) extends the Software Defined Networking (SDN) approach to WSNs, introducing a more flexible way to define flows as well as the possibility to control the duty cycles of the node radios to increase energy efficiency; (ii) enables network function virtualization (NFV) in WSNs; (iii) leverages the tight interplay between trusted hardware and software to support regulation compliant behavior of sensor nodes. In this paper SD-WISE is introduced, its major operations are described, and its features are demonstrated in three relevant scenarios, thus assessing the effectiveness of the approach.A preliminary version of this paper was presented at IEEE Infocom 2015 with the title "SDN-WISE: Design prototyping and experimentation of a stateful SDN solution for wireless sensor networks".A.-C. Anadiotis is with the EPFL (work done during his time at CNIT UdR Catania).

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“…RTOS operations are based on the priority based schedulers and manage operations in preemptive and non-preemptive modes. The usage of Software Defined Networking (SDN) in IoT is explored in [35] by introducing the concept of Open Network Operating System (ONOS) in IoT. The SDN is applied using SDN-WISE protocol for the operations of IoT using OpenFlow standard (OF) switches.…”

Section: Operating Systemmentioning

confidence: 99%