Software-defined QoS provisioning for fog computing advanced wireless sensor networks

Huang, Lanqing; Li, Gaolei; Wu, Jun; Li, Lan; Li, Jianhua; Morello, Rosario

doi:10.1109/icsens.2016.7808814

Cited by 26 publications

(14 citation statements)

References 10 publications

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“…Since fog computing lowers latency and offers energy saving, they are tailor-made for dealing with WSNs [43]. Sensors in WSNs are resource-constrained, therefore energy efficiency is an important issue.…”

Section: Protocols/algorithmsmentioning

confidence: 99%

Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges

Basir¹,

Qaisar²,

Ali

et al. 2019

Sensors

103

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Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. This article has two main research areas: In the first half, we discuss the history of industrial revolution, application areas of IIoT followed by key enabling technologies that act as building blocks for industrial transformation. In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies.

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Section: Protocols/algorithmsmentioning

confidence: 99%

Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges

Basir¹,

Qaisar²,

Ali

et al. 2019

Sensors

103

View full text Add to dashboard Cite

show abstract

“… Fog Radio Access Networks (F-RANs) [ 60 , 61 ]: they use remote radio units with caching and signal processing capabilities. Software-Defined Networking (SDN) fog architecture [ 62 , 63 ]: the main difference between the traditional fog architecture and an SDN-based fog is the fog-SDN controller used to support dynamic QoS. …”

Section: Related Workmentioning

confidence: 99%

“…Software-Defined Networking (SDN) fog architecture [ 62 , 63 ]: the main difference between the traditional fog architecture and an SDN-based fog is the fog-SDN controller used to support dynamic QoS.…”

Section: Related Workmentioning

confidence: 99%

Design, Implementation and Practical Evaluation of an IoT Home Automation System for Fog Computing Applications Based on MQTT and ZigBee-WiFi Sensor Nodes

Froiz-Míguez

Fernández‐Caramés

Fraga‐Lamas

et al. 2018

Sensors

181

103

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In recent years, the improvement of wireless protocols, the development of cloud services and the lower cost of hardware have started a new era for smart homes. One such enabling technologies is fog computing, which extends cloud computing to the edge of a network allowing for developing novel Internet of Things (IoT) applications and services. Under the IoT fog computing paradigm, IoT gateways are usually utilized to exchange messages with IoT nodes and a cloud. WiFi and ZigBee stand out as preferred communication technologies for smart homes. WiFi has become very popular, but it has a limited application due to its high energy consumption and the lack of standard mesh networking capabilities for low-power devices. For such reasons, ZigBee was selected by many manufacturers for developing wireless home automation devices. As a consequence, these technologies may coexist in the 2.4 GHz band, which leads to collisions, lower speed rates and increased communications latencies. This article presents ZiWi, a distributed fog computing Home Automation System (HAS) that allows for carrying out seamless communications among ZigBee and WiFi devices. This approach diverges from traditional home automation systems, which often rely on expensive central controllers. In addition, to ease the platform’s building process, whenever possible, the system makes use of open-source software (all the code of the nodes is available on GitHub) and Commercial Off-The-Shelf (COTS) hardware. The initial results, which were obtained in a number of representative home scenarios, show that the developed fog services respond several times faster than the evaluated cloud services, and that cross-interference has to be taken seriously to prevent collisions. In addition, the current consumption of ZiWi’s nodes was measured, showing the impact of encryption mechanisms.

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“…Betzler et al [29] proposes a novel path forwarding scheme based on SDN with wireless back-hauling and edge computing capabilities, which achieves low balancing and external interference mitigation. Huang et al [30] studied the QoS provisioning of wireless sensor fog devices. A fog layer is content-aware as it can collects data from packet headers as well as the content of the sensing data to allow a centralized SDN controller to perform define finegrained QoS provisioning policies.…”

Section: Related Workmentioning

confidence: 99%

Managing Wireless Fog Networks using Software-Defined Networking

Hakiri

Sellami

Patil

et al. 2017

2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)

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Fog computing has recently emerged as a new cyber foraging technique to offload resource-intensive tasks from mobile devices to mobile cloudlets in close proximity to endusers. Since the one-hop communication in the network edge is predominantly wireless, Wireless Mesh Networks (WMNs) are being considered to build wireless fog networks. However, WMNs use distributed hop-by-hop routing protocols to reflect a partial visibility of the network, which limits their ability to perform global network management and monitoring needed by fog networks. Software Defined Networking (SDN) provides a centralized control and management of the entire network, which makes it a good candidate to support fog communication. Unfortunately, the SDN OpenFlow protocol does not support any functionalities for wireless fog networks as it is primarily targeted to wired networks. To address these issues, this paper presents a SDN-enabled wireless fog architecture that combines both OpenFlow and distributed wireless protocols. The proposed solution provides lower latency and efficient load balancing to offload the network load by enabling programmable fog routers.

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Software-defined QoS provisioning for fog computing advanced wireless sensor networks

Cited by 26 publications

References 10 publications

Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges

Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges

Design, Implementation and Practical Evaluation of an IoT Home Automation System for Fog Computing Applications Based on MQTT and ZigBee-WiFi Sensor Nodes

Managing Wireless Fog Networks using Software-Defined Networking

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