Name
Abstract | ||
|---|---|---|
The demand for structure health monitoring is imminent for a society of increasing number of aging factories and infrastructure. While high-tech sensor networks are welcomed by the industries, their adoption rate dearly depends on the installation and maintenance cost, as well as the ease of integrating into incumbent systems and workflows. Recent proposals are applying technologies collectively recognized under the theme of Industrial Internet of Things (IIoT). Two common challenges faced by IIoT are scalability and power consumption. In this paper, we propose a practical solution to scale-up the network while keeping low power consumption at the sensor nodes. System analysis reveals a concerning interference scenario between the RFID readers, which could be mitigated by reader scheduling methods. We propose two novel improvements with low computation complexity. Monte-Carlo simulation results demonstrate the potential of delivering promising performance. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ETFA.2019.8869426 | 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) |
Keywords | Field | DocType |
IIoT,WirelessHART,RFID,hybrid network,scheduling,graph theory | Structured systems analysis and design method,Job shop scheduling,Scheduling (computing),Real-time computing,Interference (wave propagation),Engineering,Wireless sensor network,Workflow,Computation complexity,Distributed computing,Scalability | Conference |
ISSN | ISBN | Citations |
1946-0740 | 978-1-7281-0304-4 | 0 |
PageRank | References | Authors |
0.34 | 6 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lichung Chu | 1 | 24 | 4.08 |
| Mohammad Nekoui | 2 | 0 | 0.34 |
| Yuxuan Zhang | 3 | 0 | 0.34 |
| Tao Zhang | 4 | 0 | 0.34 |
| Shinhaeng Lee | 5 | 0 | 0.68 |
| Hiroyuki Fukuda | 6 | 0 | 0.34 |