Industrial Internet of Things enabled technologies, challenges, and future directions

Ahmed, Shams Forruque; Alam, Md. Sakib Bin; Hoque, Mahfara; Lameesa, Aiman; Afrin, Shaila; Farah, Tawfic E.; Kabir, M.; Shafiullah, GM; Muyeen, S. M.

doi:10.1016/j.compeleceng.2023.108847

Cited by 44 publications

(8 citation statements)

References 28 publications

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“…These architectures have a high degree of abstraction without details on how the devices are integrated into the system. Furthermore, for the industrial field, we must consider the requirements that must be fulfilled [ 5 ] regarding real time, data security, data integrity, latency, and response time to external events.…”

Section: Related Workmentioning

confidence: 99%

“…In the case of an IIoT architecture, all these specific technologies must be included. In addition to the technologies specific to the industrial environment, an IIoT architecture includes other technologies such as cyber–physical systems, blockchain technology, fog computing, cloud computing, edge computing, and big data analytics [ 5 ]. The IIoT presents additional challenges, including the need to address issues such as low response time due to latency constraints, restrictions in available network bandwidth, resource-constrained devices, and the requirement of continuous service even in the absence of an internet connection, and new security challenges [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

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A Dynamic IIoT Framework Based on the Publish–Subscribe Paradigm

Ungurean,

Gaitan

2023

Sensors

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The use of the Internet of Things (IoT) technologies and principles in industrial environments is known as the Industrial Internet of Things (IIoT). The IIoT concept aims to integrate various industrial devices, sensors, and actuators for collection, storage, monitoring, and process automation. Due to the complexity of IIoT environments, there is no one-size-fits-all solution. The main challenges in developing an IIoT solution are represented by the diversity of sensors and devices, connectivity, edge/fog computing, and security. This paper proposes a distributed and customized IioT (Industrial Internet of Things) framework for the interaction of things from the industrial environment. This framework is distributed on the fog nodes of the IIoT architecture proposed, and it will have the possibility to interconnect local things (with low latency) or global things (with a latency generated by the Internet network). To demonstrate the functionality of the proposed framework, it is included in the fog nodes presented in other paper. These fog nodes allow the integration of CANOpen networks into an IioT architecture. The most important advantages of the proposed architecture are its customizability and the fact that it allows decision operations to be carried out at the edge of the network to eliminate latency due to the Internet.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Dynamic IIoT Framework Based on the Publish–Subscribe Paradigm

Ungurean,

Gaitan

2023

Sensors

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“…The advancement of distributed systems, such as cloud-fog architecture, enables users to access, share, and modify their data from any location 1 – 3 . This evolution is further accelerated by the growth of diverse fields within computer science, including the Internet of Things, propelling the rapid development of distributed systems 4 . The Internet of Things is a new technology that has emerged with the progress of the world of science and the needs of today's people for fast communication.…”

Section: Introductionmentioning

confidence: 99%

A new secure offloading approach for internet of vehicles in fog-cloud federation

Salami,

Khajehvand,

Zeinali

2024

Sci Rep

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The Internet of Vehicles (IoV) plays a crucial role in advancing intelligent transportation systems. However, due to limited processing power, IoV faces challenges in independently handling large volumes of data, necessitating the use of offloading as a solution. Offloading data in wireless environments raises security concerns, highlighting the need for robust data protection mechanisms. This study introduces a secure offloading (SO) scheme within the Fog-Cloud Federation for IoV. The proposed NSO-VFC scheme undergoes both informal and formal analysis using the Avispa tool, demonstrating resilience against active and passive attacks. Performance evaluations indicate that the security measures of NSO-VFC meet acceptable standards compared to similar approaches. Nonetheless, the heightened focus on security incurs higher computational and communication costs than alternative strategies. Simulation experiments using the NS3 tool involve varying numbers of IoVs (50, 70, and 100), revealing that increased IoV density correlates with enhanced packet delivery rates and throughput within the NSO-VFC scheme.

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“…The Internet of Things has drawn the attention of academicians, governments, and engineers from various sectors [11]. Recently, it has made revolutionary changes in human life [12].…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Controlling System of Smart Mini Greenhouse Based on Internet of Things (IoT) for Spinach Plant (Amaranthus sp.)

Putri,

Lestari,

Ifmalinda

et al. 2024

Int. J. Adv. Sci. Eng. Inf. Technol.

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Greenhouses, often composed of plastic or glass structures, play a fundamental role in optimizing the environmental conditions essential for successful plant cultivation, ultimately resulting in higher-quality crop yields. The study aims to develop a real-time monitoring and control system for a smart mini greenhouse utilizing the Internet of Things (IoT), with a specific focus on cultivating spinach. The monitoring system is constructed around an ESP32 microcontroller, complemented by a DHT22 sensor for accurate air temperature and humidity measurements, and an RTC DS3231 timer for scheduling tasks. The DHT22 sensor's set point values trigger the fan and misting system operations. The fan activates when the air temperature reaches 32°C, while the misting system turns on when humidity levels (RH) reach 55%. The ESP32 is the central processing unit, enabling internet connectivity through Wi-Fi for real-time data monitoring via the Blynk application. Sensor calibration confirms the system's precision, with regression analyses producing impressive R2 values of 0.989 and 0.952. The shading net control system operates four hours daily, from 11:00 to 15:00 WIB (Western Indonesian Time), optimizing the greenhouse environment. This well-executed system leads to the robust growth of spinach plants, reaching a height of 23.02 cm, sprouting nine leaves, and attaining a weight of 10 grams. The findings from this study highlight the efficiency and effectiveness of the smart mini greenhouse's monitoring and control system, offering promising applications in broader greenhouse management and crop cultivation practices.

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Industrial Internet of Things enabled technologies, challenges, and future directions

Cited by 44 publications

References 28 publications

A Dynamic IIoT Framework Based on the Publish–Subscribe Paradigm

A Dynamic IIoT Framework Based on the Publish–Subscribe Paradigm

A new secure offloading approach for internet of vehicles in fog-cloud federation

Monitoring and Controlling System of Smart Mini Greenhouse Based on Internet of Things (IoT) for Spinach Plant (Amaranthus sp.)

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