A Review on Integrating IoT, IIoT, and Industry 4.0: A Pathway to Smart Manufacturing and Digital Transformation DOI Creative Commons

Fujun Qiu,

Ashwini Kumar,

Hu Jiang

et al.

IET Information Security, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

The industrial Internet of Things (IIoT) has become an innovative technology that brought many benefits to industries and organizations. This review presents a comprehensive analysis IIoT’s applications, highlighting its ability optimize operations through advanced connectivity, real‐time data exchange, automation, importance in the context Industry 4.0. Emphasizing distinction between IIoT traditional IoT, paper explores how focuses on enhancing ecosystems integrating cyber‐physical systems (CPSs). article explains establish highly linked infrastructure support cutting‐edge services ensure greater flexibility efficiency. It emphasizes role CPS automation control (IACSs) realizing potential IIoT. Security concerns, important part IIoT, are addressed conversations protecting networked systems, assuring operational reliability, emphasizing need for strong security measures prevent threats vulnerabilities. Furthermore, critical technologies such as machine learning (ML), artificial intelligence (AI), various communication protocols, including fifth generation (5G) message queuing telemetry transport (MQTT), investigated their improve system performance decision‐making processes. In addition, also discusses safety precautions challenges using Finally, addressing issues promoting successful adoption achieving expected benefits. study offers valuable resources researchers, academics, decision‐makers implement environments.

Language: Английский

Intelligent multi-agent model for energy-efficient communication in wireless sensor networks DOI Creative Commons
Kiran Saleem, Lei Wang, Salil Bharany

et al.

EURASIP Journal on Information Security, Journal Year: 2024, Volume and Issue: 2024(1)

Published: April 8, 2024

Abstract The research addresses energy consumption, latency, and network reliability challenges in wireless sensor communication, especially military security applications. A multi-agent context-aware model employing the belief-desire-intention (BDI) reasoning mechanism is proposed. This utilizes a semantic knowledge-based intelligent to monitor suspicious activities within prohibited zone, generating alerts. Additionally, BDI multi-level data transmission routing algorithm proposed optimize consumption constraints enhance energy-awareness among nodes. optimization analysis involves Energy Percent Dataset, showcasing efficiency of four techniques (E-FEERP, GTEB, HHO-UCRA, EEIMWSN) maintaining high levels. E-FEERP consistently exhibits superior (93 98%), emphasizing its effectiveness. Consumption Dataset provides insights into joule measurements for each technique, highlighting their diverse characteristics. Latency are presented fixed range 5000 m. demonstrates latency ranging from 3.0 4.0 s, while multi-hop values 2.7 2.9 s. These provide valuable performance characteristics technique under specified conditions. Packet Delivery Ratio (PDR) dataset reveals consistent successful packet delivery range. achieves PDR between 89.5 92.3%, demonstrating reliability. Received Data further illustrates receiving transmitted packets. Moreover lifetime results show improving 2550 s round 925. GTEB HHO-UCRA exhibit fluctuations around 3100 3600 indicating variable performance. In contrast, EEIMWSN improves 1250 4500

Language: Английский

Citations

4

An IoT Enabled Energy Management System with Precise Forecasting and Load Optimization for PV Power Generation DOI
Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

et al.

Transactions of Indian National Academy of Engineering, Journal Year: 2024, Volume and Issue: 9(4), P. 917 - 937

Published: Aug. 27, 2024

Language: Английский

Citations

4

Designing an intelligent smart energy monitoring system for optimizing the utilization of PV energy DOI
Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

et al.

Energy Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

4

Ten questions Concerning Living Laboratories (LL) for Multi-domain Comfort Investigations DOI Creative Commons
Anna Laura Pisello,

Toka M. Amer,

Benedetta Pioppi

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112750 - 112750

Published: March 1, 2025

Language: Английский

Citations

0

A Review on Integrating IoT, IIoT, and Industry 4.0: A Pathway to Smart Manufacturing and Digital Transformation DOI Creative Commons

Fujun Qiu,

Ashwini Kumar,

Hu Jiang

et al.

IET Information Security, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

The industrial Internet of Things (IIoT) has become an innovative technology that brought many benefits to industries and organizations. This review presents a comprehensive analysis IIoT’s applications, highlighting its ability optimize operations through advanced connectivity, real‐time data exchange, automation, importance in the context Industry 4.0. Emphasizing distinction between IIoT traditional IoT, paper explores how focuses on enhancing ecosystems integrating cyber‐physical systems (CPSs). article explains establish highly linked infrastructure support cutting‐edge services ensure greater flexibility efficiency. It emphasizes role CPS automation control (IACSs) realizing potential IIoT. Security concerns, important part IIoT, are addressed conversations protecting networked systems, assuring operational reliability, emphasizing need for strong security measures prevent threats vulnerabilities. Furthermore, critical technologies such as machine learning (ML), artificial intelligence (AI), various communication protocols, including fifth generation (5G) message queuing telemetry transport (MQTT), investigated their improve system performance decision‐making processes. In addition, also discusses safety precautions challenges using Finally, addressing issues promoting successful adoption achieving expected benefits. study offers valuable resources researchers, academics, decision‐makers implement environments.

Language: Английский

Citations

0