Industrial Wireless Systems Guidelines: Practical Considerations and Deployment Life Cycle

Candell, Richard; Kashef, Mohamed; Liu, Yongkang; Lee, Kang B.; Foufou, Sebti

doi:10.1109/mie.2018.2873820

Cited by 40 publications

(26 citation statements)

References 18 publications

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“…As stated in [5], the number of devices is a key requirement of Industrial IoT applications. However, it is also important to cover these devices with adequate reliability levels.…”

Section: A Average Number Of Devicesmentioning

confidence: 99%

“…are viable wireless solutions for several Industrial IoT applications demanding the coverage of several devices, with latency and reliability constraints that are somewhat milder for the industrial scenario. Among these applications, we may cite [5]: monitoring and supervisory control of flow-based systems; factory monitoring of job-based systems; tracking of personnel, tools, and materials; as well as machinery health monitoring.…”

mentioning

confidence: 99%

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Hybrid Coded Replication in LoRa Networks

Sant'Ana

Hoeller

Souza

et al. 2020

IEEE Trans. Ind. Inf.

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Low Power Wide Area Networks (LPWAN) are wireless connectivity solutions for Internet-of-Things (IoT) applications, including industrial automation. Among the several LPWAN technologies, LORAWAN has been extensively addressed by the research community and the industry. However, the reliability and scalability of LORAWAN are still uncertain. One of the techniques to increase the reliability of LORAWAN is message replication, which exploits time diversity. This paper proposes a novel hybrid coded message replication scheme that interleaves simple repetition and a recently proposed coded replication method. We analyze the optimization of the proposed scheme under minimum reliability requirements and show that it enhances the network performance without requiring additional transmit power compared to the competing replication techniques.

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“…As stated in [5], the number of devices is a key requirement of Industrial IoT applications. However, it is also important to cover these devices with adequate reliability levels.…”

Section: A Average Number Of Devicesmentioning

confidence: 99%

mentioning

confidence: 99%

Hybrid Coded Replication in LoRa Networks

Sant'Ana

Hoeller

Souza

et al. 2020

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

show abstract

“…In the context of industry 4.0, it is necessary to be able to locate the operator in a wide environment and with a faithful accuracy for human machine interaction. We decided to focus our research on wireless technologies instead of cameras because, for example, they need to have a Line-Of-Sight (LOS) and that is impossible in industrial conditions because workshops or buildings are in the majority of cases in NLOS conditions [5][6][7].…”

Section: Survey On Wireless Technologiesmentioning

confidence: 99%

A New Dataset of People Flow in an Industrial Site with UWB and Motion Capture Systems

Delamare

Duval

Boutteau

2020

Sensors

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Improving performance and safety conditions in industrial sites remains a key objective for most companies. Currently, the main goal is to be able to dynamically locate both people and goods on the site. Security and access regulation to restricted areas are often ensured by doors or badge barriers and those have several issues when faced with people being in places they are not supposed to be in or even tools of objects being used incorrectly. In addition to this, a growing use of new devices requires precise information about their location in the environment such as mobile robots or drones. Therefore, it is becoming essential to have the tools to dynamically manage these flows of people and goods. Ultra-wide-band and motion capture solutions will be used to quickly identify people who may be in unauthorized areas or performing tasks which they have been uninstructed to do. In addition to the dynamic tracking of people, this also overcomes some issues associated with moving objects or tools around the production floor. We offer a new set of data that provides precise information on worker movement. This dataset can be used to develop new metrics regarding worker efficiency and safety.

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“…The industry digitalisation gave rise to the smart industry concept, also known as Industry 4.0. One of the factors that drove this digitalisation is the consolidation of technologies related to the IoT and the Industrial IoT (IIoT) paradigms [12,13], where wireless technology plays a fundamental role, providing appropriate support for the applications, offering advantages over wired technology in terms of flexibility, fast deployment, scalability, distributed processing capacity, and high mobility.…”

Section: Ieee 802154 and Zigbeementioning

confidence: 99%

Dynamic Reconfiguration of Cluster-Tree Wireless Sensor Networks to Handle Communication Overloads in Disaster-Related Situations

Lino

Leão

Soares

et al. 2020

Sensors

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The development of flexible and efficient communication mechanisms is of paramount importance within the context of the Internet of Things (IoT) paradigm. IoT has been used for industrial, commercial, and residential applications, and the IEEE 802.15.4/ZigBee standard is one of the most suitable protocols for this purpose. This protocol is now frequently used to implement large-scale Wireless Sensor Networks (WSNs). In industrial settings, it is becoming increasingly common to deploy cluster-tree WSNs, a complex IEEE 802.15.4/ZigBee-based peer-to-peer network topology, to monitor and control critical processes such as those related to oil or gas, mining, or certain specific chemicals. The remote monitoring of critical events for hazards or disaster detection in large areas is a challenging issue, since the occurrence of events in the monitored environment may severely stress the regular operation of the network. This paper proposes the Dynamic REconfiguration mechanism of cluster-Tree WSNs (DyRET), which is able to dynamically reconfigure large-scale IEEE 802.15.4 cluster-tree WSNs, and to assign communication resources to the overloaded branches of the tree based on the accumulated network load generated by each of the sensor nodes. A complete simulation assessment demonstrates the proposed mechanism’s efficiency, and the results show that it can guarantee the required quality of service level for the dynamic reconfiguration of cluster-tree networks.

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Industrial Wireless Systems Guidelines: Practical Considerations and Deployment Life Cycle

Cited by 40 publications

References 18 publications

Hybrid Coded Replication in LoRa Networks

Hybrid Coded Replication in LoRa Networks

A New Dataset of People Flow in an Industrial Site with UWB and Motion Capture Systems

Dynamic Reconfiguration of Cluster-Tree Wireless Sensor Networks to Handle Communication Overloads in Disaster-Related Situations

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