A Survey on the Application of WirelessHART for Industrial Process Monitoring and Control

Devan, P. Arun Mozhi; Hussin, Fawnizu Azmadi; Ibrahim, Rosdiazli; Bingi, Kishore; Khanday, Farooq Ahmad

doi:10.3390/s21154951

Cited by 45 publications

(30 citation statements)

References 137 publications

(119 reference statements)

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“…This signifies the use of standard protocols and networks for the IIoT systems. On the other hand, new standards have begun to emerge due to the need to monitor industrial systems and processes, for example, new industrial wireless sensor network (IWSN) standards of ZigBee, WirelessHART, ISA 100.11a wireless, and Wireless network for Industrial Automation-Process Automation (WIA-PA), to name a few [43].…”

Section: Iiot Architecturementioning

confidence: 99%

Analysis of Security Issues and Countermeasures for the Industrial Internet of Things

Pal

Jadidi

2021

Applied Sciences

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Industrial Internet of Things (IIoT) can be seen as an extension of the Internet of Things (IoT) services and applications to industry with the inclusion of Industry 4.0 that provides automation, reliability, and control in production and manufacturing. IIoT has tremendous potential to accelerate industry automation in many areas, including transportation, manufacturing, automobile, marketing, to name a few places. When the benefits of IIoT are visible, the development of large-scale IIoT systems faces various security challenges resulting in many large-scale cyber-attacks, including fraudulent transactions or damage to critical infrastructure. Moreover, a large number of connected devices over the Internet and resource limitations of the devices (e.g., battery, memory, and processing capability) further pose challenges to the system. The IIoT inherits the insecurities of the traditional communication and networking technologies; however, the IIoT requires further effort to customize the available security solutions with more focus on critical industrial control systems. Several proposals discuss the issue of security, privacy, and trust in IIoT systems, but comprehensive literature considering the several aspects (e.g., users, devices, applications, cascading services, or the emergence of resources) of an IIoT system is missing in the present state of the art IIoT research. In other words, the need for considering a vision for securing an IIoT system with broader security analysis and its potential countermeasures is missing in recent times. To address this issue, in this paper, we provide a comparative analysis of the available security issues present in an IIoT system. We identify a list of security issues comprising logical, technological, and architectural points of view and consider the different IIoT security requirements. We also discuss the available IIoT architectures to examine these security concerns in a systematic way. We show how the functioning of different layers of an IIoT architecture is affected by various security issues and report a list of potential countermeasures against them. This study also presents a list of future research directions towards the development of a large-scale, secure, and trustworthy IIoT system. The study helps understand the various security issues by indicating various threats and attacks present in an IIoT system.

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Section: Iiot Architecturementioning

confidence: 99%

Analysis of Security Issues and Countermeasures for the Industrial Internet of Things

Pal

Jadidi

2021

Applied Sciences

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“…There are several standards available to be applied in monitoring applications [21]. Some industrial applications developed with wireless technologies are described in [22,23]. Sometimes, the IEEE 802.11 standard is used at industrial communications, but in general, it does not ensure the QoS requirements.…”

Section: Related Workmentioning

confidence: 99%

Design and Performance of a XBee 900 MHz Acquisition System Aimed at Industrial Applications

et al. 2021

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Wireless technologies are being introduced in industrial applications since they provide certain benefits, such as the flexibility to modify the layout of the nodes, improving connectivity with monitoring and decision nodes, adapting to mobile devices and reducing or eliminating cabling. However, companies are still reluctant to use them in time-critical applications, and consequently, more research is needed in order to be massively deployed in industrial environments. This paper goes in this direction by presenting a novel wireless acquisition system aimed at industrial applications. This system embeds a low-cost technology, such as XBee, not frequently considered for deterministic applications, for deploying industrial applications that must fulfill certain QoS requirements. The use of XBee 900 MHz modules allows for the use of the 2.4 GHz band for other purposes, such as connecting to cloud services, without causing interferences with critical applications. The system implements a time-slotted media access (TDMA) approach with a timely transmission scheduling of the messages on top of the XBee 900 MHz technology. The paper discusses the details of the acquisition system, including the topology, the nodes involved, the so-called coordinator node and smart measuring nodes, and the design of the frames. Smart measuring nodes are implemented by an original PCB which were specifically designed and manufactured. This board eases the connection of the sensors to the acquisition system. Experimental tests were carried out to validate the presented wireless acquisition system. Its applicability is shown in an industrial scenario for monitoring the positioning of an aeronautical reconfigurable tooling prototype. Both wired and wireless technologies were used to compare the variables monitored. The results proved that the followed approach may be an alternative for monitoring big machinery in indoor industrial environments, becoming especially suitable for acquiring values from sensors located in mobile parts or difficult-to-reach places.

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“…The energy consumption of sensor nodes has the most significant impact on the network's lifetime [11]. It is often a complex mission to optimize the network performance and to meet such requirements due to the topologies' characteristics, devices, and properties of a wireless network such as signal interruption, interference, shared platform, and transmission power [10,12]. Meanwhile, it is unpredictable in working scenarios, where interfering variables such as electromagnetic waves, vibration, and temperature might lead to network failures or faults such as operating software faults, asynchronous clock, radio frequency conflicts, depleted battery, and path losses [13,14].…”

Section: Introductionmentioning

confidence: 99%

Reliable Fault Tolerant-Based Multipath Routing Model for Industrial Wireless Control Systems

et al. 2022

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Communication in industrial wireless networks necessitates reliability and precision. Besides, the existence of interference or traffic in the network must not affect the estimated network properties. Therefore, data packets have to be sent within a certain time frame and over a reliable connection. However, the working scenarios and the characteristics of the network itself make it vulnerable to node or link faults, which impact the transmission reliability and overall performance. This article aims to introduce a developed multipath routing model, which leads to cost-effective planning, low latency and high reliability of industrial wireless mesh networks, such as the WirelessHART networks. The multipath routing model has three primary paths, and each path has a backup node. The backup node stores the data transmitted by the parent node to grant communication continuity when primary nodes fail. The multipath routing model is developed based on optimal network planning and deployment algorithm. Simulations were conducted on a WirelessHART simulator using Network Simulator (NS2). The performance of the developed model is compared with the state-of-the-art. The obtained results reveal a significant reduction in the average network latency, low power consumption, better improvement in expected network lifetime, and enhanced packet delivery ratio which improve network reliability.

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A Survey on the Application of WirelessHART for Industrial Process Monitoring and Control

Cited by 45 publications

References 137 publications

Analysis of Security Issues and Countermeasures for the Industrial Internet of Things

Analysis of Security Issues and Countermeasures for the Industrial Internet of Things

Design and Performance of a XBee 900 MHz Acquisition System Aimed at Industrial Applications

Reliable Fault Tolerant-Based Multipath Routing Model for Industrial Wireless Control Systems

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