Abstract
With the development of wireless sensor networks (WSNs), it is applied in various fields, such as bridge health diagnosis. In previous bridge health diagnosis system, most of researches use general network models which cannot real-time acquire data or have high power consumption. In order to adapt the network characters, this paper presents a new type Low-power WSN, named LW, for real-time bridge health diagnosis system. Comparing with the WSN of previous bridge diagnosis systems, the contributions of this paper are two aspects. First, a low-power node module board to reduce the power consumption of hardware is designed. Next, an energy efficient and real-time data collection algorithm based on time table (TDMA) is designed to make WSN able to collect data efficiently. This paper also presents several simulations and experiments to show that our design choices are indeed quite effective.
Original language | English |
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Title of host publication | 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1565-1568 |
Number of pages | 4 |
Volume | 2017-November |
ISBN (Electronic) | 9784907764579 |
DOIs | |
Publication status | Published - 2017 Nov 10 |
Event | 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 - Kanazawa, Japan Duration: 2017 Sept 19 → 2017 Sept 22 |
Other
Other | 56th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2017 |
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Country/Territory | Japan |
City | Kanazawa |
Period | 17/9/19 → 17/9/22 |
Keywords
- bridge diagnosis
- real-time transmission protocol
- system design
- Wireless Sensor Networks
ASJC Scopus subject areas
- Computer Science Applications
- Control and Optimization
- Control and Systems Engineering
- Instrumentation