TY - GEN
T1 - An efficient energy management scheme for wireless sensor network-based structural health monitoring system using on-site earthquake early warning system and wake-on radio
AU - Ding, Jiun Ting
AU - Hung, Shih-Lin
AU - Lu, Yung Chi
PY - 2018/6
Y1 - 2018/6
N2 - The ability to provide a stable and durable energy supply for sensing nodes in a wireless sensors network (WSN) is an important research issue for WSNs in structural health monitoring (SHM) systems. Furthermore, a common approach to reduce energy consumption of sensors in a WSN is having control sensors periodically enter a low-power mode or sleep state. This, however, is challenging to implement in large-scale WSNs due to the need for faultless time synchronization. In practice, the sampling process will be delayed if a sensor node receives a sampling command but the node remains in listening-time cycle. Hence, the capabilities of external-radio triggering can improve stability and durability when integrated with a peripheral low-power circuit attached to sensing nodes. If sensors are in a low-power mode or sleep state, an effective approach is to transmit a wake-up command when specific start-up conditions are met to quickly awaken sensing nodes and work wirelessly. The aim of this work is to develop an efficient energy management scheme for a WSN-based SHM system by integrating an on-site earthquake early warning system and wake-on radio. A coordinator is integrated with WSN gateways and employed to link and synchronize all sensing nodes in advance through seismic prediction and radio-triggering technology. The simulation results reveal that the average power consumed was measured at about 350 µA for sensing nodes. Such a sensor will be more effective in measuring structural responses after an earthquake by increasing available sleep time, thereby saving energy and extending the life of such a wireless sensing system.
AB - The ability to provide a stable and durable energy supply for sensing nodes in a wireless sensors network (WSN) is an important research issue for WSNs in structural health monitoring (SHM) systems. Furthermore, a common approach to reduce energy consumption of sensors in a WSN is having control sensors periodically enter a low-power mode or sleep state. This, however, is challenging to implement in large-scale WSNs due to the need for faultless time synchronization. In practice, the sampling process will be delayed if a sensor node receives a sampling command but the node remains in listening-time cycle. Hence, the capabilities of external-radio triggering can improve stability and durability when integrated with a peripheral low-power circuit attached to sensing nodes. If sensors are in a low-power mode or sleep state, an effective approach is to transmit a wake-up command when specific start-up conditions are met to quickly awaken sensing nodes and work wirelessly. The aim of this work is to develop an efficient energy management scheme for a WSN-based SHM system by integrating an on-site earthquake early warning system and wake-on radio. A coordinator is integrated with WSN gateways and employed to link and synchronize all sensing nodes in advance through seismic prediction and radio-triggering technology. The simulation results reveal that the average power consumed was measured at about 350 µA for sensing nodes. Such a sensor will be more effective in measuring structural responses after an earthquake by increasing available sleep time, thereby saving energy and extending the life of such a wireless sensing system.
KW - Earthquake early warning (EEW)
KW - Structural Health Monitoring (SHM)
KW - Wake-On-Radio (WoR)
KW - Wireless Sensor Network (WSN)
UR - http://www.scopus.com/inward/record.url?scp=85053443692&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85053443692
SN - 9781880653876
T3 - Proceedings of the International Offshore and Polar Engineering Conference
SP - 1393
EP - 1399
BT - Proceedings of the 28th International Ocean and Polar Engineering Conference, ISOPE 2018
PB - International Society of Offshore and Polar Engineers
T2 - 28th International Ocean and Polar Engineering Conference, ISOPE 2018
Y2 - 10 June 2018 through 15 June 2018
ER -