Adaptive and Beacon-based multi-channel protocol for Industrial Wireless Sensor Networks

Gomes, Ruan Delgado; Benavente-Peces, César; Fonseca, Iguatemi E.; Alencar, Marcelo Sampaio de

doi:10.1016/j.jnca.2019.01.025

Cited by 18 publications

(7 citation statements)

References 33 publications

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“…Another commonly used alternative to the BER of ( 6) for defining a link reliability metric is the Required Number of Packet transmissions (RNP), defined as [53]:…”

Section: Improving Iout Link Reliabilitymentioning

confidence: 99%

Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey

Jahanbakht

Wang

Hanzo

et al. 2021

IEEE Commun. Surv. Tutorials

282

111

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The Internet of Underwater Things (IoUT) is an emerging communication ecosystem developed for connecting underwater objects in maritime and underwater environments. The IoUT technology is intricately linked with intelligent boats and ships, smart shores and oceans, automatic marine transportations, positioning and navigation, underwater exploration, disaster prediction and prevention, as well as with intelligent monitoring and security. The IoUT has an influence at various scales ranging from a small scientific observatory, to a midsized harbor, and to covering global oceanic trade. The network architecture of IoUT is intrinsically heterogeneous and should be sufficiently resilient to operate in harsh environments. This creates major challenges in terms of underwater communications, whilst relying on limited energy resources. Additionally, the volume, velocity, and variety of data produced by sensors, hydrophones, and cameras in IoUT is enormous, giving rise to the concept of Big Marine Data (BMD), which has its own processing challenges. Hence, conventional data processing techniques will falter, and bespoke Machine Learning (ML) solutions have to be employed for automatically learning the specific BMD behavior and features facilitating knowledge extraction and decision support. The motivation of this paper is to comprehensively survey the IoUT, BMD, and their synthesis. It also aims for exploring the nexus of BMD with ML. We set out from underwater data collection and then discuss the family of IoUT data communication techniques with an emphasis on the state-of-the-art research challenges. We then review the suite of ML solutions suitable for BMD handling and analytics. We treat the subject deductively from an educational perspective, critically appraising the material surveyed. Accordingly, the reader will become familiar with the pivotal issues of IoUT and BMD processing, whilst gaining an insight into the state-of-theart applications, tools, and techniques. Finally, we analyze of the architectural challenges of the IoUT, followed by proposing a range of promising direction for research and innovation in the broad areas of IoUT and BMD. Our hope is to inspire researchers, engineers, data scientists, and governmental bodies to further progress the field, to develop new tools and techniques, as well as to make informed decisions and set regulations related to the maritime and underwater environments around the world.

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“…Another commonly used alternative to the BER of ( 6) for defining a link reliability metric is the Required Number of Packet transmissions (RNP), defined as [53]:…”

Section: Improving Iout Link Reliabilitymentioning

confidence: 99%

Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey

Jahanbakht

Wang

Hanzo

et al. 2021

IEEE Commun. Surv. Tutorials

282

111

View full text Add to dashboard Cite

show abstract

“…The works in [27] and [26] proposed the use of time synchronization and channel hopping (i.e., sending subsequent packets over different frequency channels) at the physical layer as a means to combat both multipath propagation and external interference. The protocol proposed in [9] combines multi-channel communication, real-time link quality estimation, and dynamic channel allocation, to deal with the problems that affect the link quality in industrial environments.…”

Section: Overview Of Ieee 802154g Sunmentioning

confidence: 99%

Towards Reliable IEEE 802.15.4g SUN with Re-transmission Shaping and Adaptive Modulation Selection

Solimini

Tuset-Peiró

Boquet

et al. 2021

J Sign Process Syst

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“…As for wireless only networking, to avoid common problems of communication in industrial environments, a various methods of network self-adaptation are used as frequency hopping, adaptive routing, multichannel transmission, or dynamic channel allocation (e.g., RPL, TSCH) [17,18] as well as some based on them standardized protocols as IEEE802.11, ZigBee, WirelessHART and the ISA100.11a [19], IEEE802.15.4 [20]. The interesting solution of the multichannel protocol and communication is proposed in [21]. Authors using channel hopping and channel adaptation mutually to improve the network performance and link quality.…”

Section: Related Workmentioning

confidence: 99%

Electromagnetic compatibility issues in hybrid wired and wireless industrial networks

Gaj

Maćkowski

2020

PLoS ONE

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Industrial networks are currently the only communication means designed for real-time systems used in industry. Networked control systems (NCS) are still important and commonly used type of such systems operating on shop floor. As a computerized node of NCS, a programmable logic controller (PLC) is usually used. In most cases, contemporary devices of such kind are equipped with more than one network interface of various types. Typically, only one interface is activated in NCS. Sometimes, the other is used for communication between NCS and supervisory systems. Occasionally, it is additionally involved in the data transmission in the factory IT systems. In general, however, using a single network interface is a more common solution. In this paper, the mutual utilization of more than one interface is discussed in order to back up the NCS network and to manage the node-related traffic within the scope of higher level services. The question of dependability of such a system from the electromagnetic compatibility point of view is discussed. The example is provided based on Profinet via wired and wireless connection.

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Adaptive and Beacon-based multi-channel protocol for Industrial Wireless Sensor Networks

Cited by 18 publications

References 33 publications

Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey

Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey

Towards Reliable IEEE 802.15.4g SUN with Re-transmission Shaping and Adaptive Modulation Selection

Electromagnetic compatibility issues in hybrid wired and wireless industrial networks

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