A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Real-Time Energy Efficient Communication for Large-Scale Industrial Internet of Things
Industrial Internet of Things (IIoTs) comprises large-scale sensors deployed to monitor and control the system. Deploying IoT devices presents challenges due to frequent disconnections and sudden power drainage in intermediate devices responsible for routing data. Consequently, the deployed network becomes sporadic, hindering connectivity with the industrial controller system, especially critical during emergencies. Furthermore, IoT node failures lead to a short network lifetime, which is intolerable in real-time industrial applications. This paper introduces a multi-hop clustering framework designed for reliable communication in industrial environments. The framework dynamically forms clusters, employing cluster heads and backup nodes to stabilize communication in the absence of a cluster head. Each cluster selects a backup node during the initial cluster head selection and later through data piggybacking. The proposed framework provides efficient communication across the IIoT network with the help of a backup and multi-hop clustering mechanism. The proposed framework is compared with two existing protocols i.e. cluster-based coordination routing (CRC) and energy-efficient quality of service routing (EEQSRP) protocols. The results show a considerable decrease in sensor energy consumption and packet delay.
Real-Time Energy Efficient Communication for Large-Scale Industrial Internet of Things
Industrial Internet of Things (IIoTs) comprises large-scale sensors deployed to monitor and control the system. Deploying IoT devices presents challenges due to frequent disconnections and sudden power drainage in intermediate devices responsible for routing data. Consequently, the deployed network becomes sporadic, hindering connectivity with the industrial controller system, especially critical during emergencies. Furthermore, IoT node failures lead to a short network lifetime, which is intolerable in real-time industrial applications. This paper introduces a multi-hop clustering framework designed for reliable communication in industrial environments. The framework dynamically forms clusters, employing cluster heads and backup nodes to stabilize communication in the absence of a cluster head. Each cluster selects a backup node during the initial cluster head selection and later through data piggybacking. The proposed framework provides efficient communication across the IIoT network with the help of a backup and multi-hop clustering mechanism. The proposed framework is compared with two existing protocols i.e. cluster-based coordination routing (CRC) and energy-efficient quality of service routing (EEQSRP) protocols. The results show a considerable decrease in sensor energy consumption and packet delay.
Real-Time Energy Efficient Communication for Large-Scale Industrial Internet of Things
Lecture Notes in Civil Engineering
Mansour, Yasser (editor) / Subramaniam, Umashankar (editor) / Mustaffa, Zahiraniza (editor) / Abdelhadi, Abdelhakim (editor) / Al-Atroush, Mohamed (editor) / Abowardah, Eman (editor) / Khan, Musfira (author) / Khan, Muazzam A. (author) / Farman, Haleem (author) / Malik, Asad W. (author)
Proceedings of the International Conference on Sustainability: Developments and Innovations ; 2024 ; Riyadh, Saudi Arabia
2024-10-26
9 pages
Article/Chapter (Book)
Electronic Resource
English
Actors , Multi-hop , Wireless sensor actuator network , Reliable communication Engineering , Building Construction and Design , Geoengineering, Foundations, Hydraulics , Sustainable Architecture/Green Buildings , Engineering Economics, Organization, Logistics, Marketing , Energy Policy, Economics and Management , Renewable and Green Energy
Intelligent internet of things lock with real-time online function
| European Patent Office | 2023
Internet of things enabled real time water quality monitoring system
| Springer Verlag | 2016
An efficient, provably-secure DAG based consensus mechanism for industrial internet of things
| Springer Verlag | 2023