TY - GEN
T1 - Architecture design for the environmental monitoring system over the winter season
AU - Yamashita, Koichiro
AU - Ao, Chen
AU - Suzuki, Takahisa
AU - Xu, Yi
AU - Li, Hongchun
AU - Tian, Jun
AU - Kimura, Keiji
AU - Kasahara, Hironori
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/11/13
Y1 - 2016/11/13
N2 - One of the applications as a source of big data, there is a sensor network for the environmental monitoring that is designed to detect the deterioration of the infrastructure, erosion control and so on. The specific targets are bridges, buildings, slopes and embankments due to the natural disasters or aging. Basic requirement of this monitoring system is to collect data over a long period of time from a large number of nodes that installed in a wide area. However, in order to apply a wireless sensor network (WSN), using wireless communication and energy harvesting, there are not many cases in the actual monitoring system design. Because of the system must satisfy various conditions measurement location and time specified by the civil engineering communication quality and topology obtained from the network technology the electrical engineering to solve the balance of weather environment and power consumption that depends on the above-mentioned conditions. We propose the whole WSN design methodology especially for the electrical architecture that is affected by the network behavior and the environmental disturbance. It is characterized by determining recursively mutual trade-off of a wireless simulation and a power architecture simulation of the node devices. Furthermore, the system allows the redundancy of the design. In addition, we deployed the actual slope monitoring WSN that is designed by the proposed method to the snow-covered area. A conventional similar monitoring WSN, with 7 Ah Li-battery, it worked only 129 days in a mild climate area. On the other hand, our proposed system, deployed in the heavy snow area has been working more than 6 months (still working) with 3.2 Ah batteries. Finally, it made a contribution to the civil engineering succeeded in the real time observation of the groundwater level displacement at the time of melting snow in the spring season.
AB - One of the applications as a source of big data, there is a sensor network for the environmental monitoring that is designed to detect the deterioration of the infrastructure, erosion control and so on. The specific targets are bridges, buildings, slopes and embankments due to the natural disasters or aging. Basic requirement of this monitoring system is to collect data over a long period of time from a large number of nodes that installed in a wide area. However, in order to apply a wireless sensor network (WSN), using wireless communication and energy harvesting, there are not many cases in the actual monitoring system design. Because of the system must satisfy various conditions measurement location and time specified by the civil engineering communication quality and topology obtained from the network technology the electrical engineering to solve the balance of weather environment and power consumption that depends on the above-mentioned conditions. We propose the whole WSN design methodology especially for the electrical architecture that is affected by the network behavior and the environmental disturbance. It is characterized by determining recursively mutual trade-off of a wireless simulation and a power architecture simulation of the node devices. Furthermore, the system allows the redundancy of the design. In addition, we deployed the actual slope monitoring WSN that is designed by the proposed method to the snow-covered area. A conventional similar monitoring WSN, with 7 Ah Li-battery, it worked only 129 days in a mild climate area. On the other hand, our proposed system, deployed in the heavy snow area has been working more than 6 months (still working) with 3.2 Ah batteries. Finally, it made a contribution to the civil engineering succeeded in the real time observation of the groundwater level displacement at the time of melting snow in the spring season.
KW - Architecture design
KW - Civil engineering
KW - Environmental monitoring system
KW - Network design
KW - Wireless sensor network
UR - https://www.scopus.com/pages/publications/85007020909
UR - https://www.scopus.com/pages/publications/85007020909#tab=citedBy
U2 - 10.1145/2989250.2989266
DO - 10.1145/2989250.2989266
M3 - Conference contribution
AN - SCOPUS:85007020909
T3 - MobiWac 2016 - Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access, co-located with MSWiM 2016
SP - 27
EP - 34
BT - MobiWac 2016 - Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access, co-located with MSWiM 2016
PB - Association for Computing Machinery, Inc
T2 - 14th ACM International Symposium on Mobility Management and Wireless Access, MobiWac 2016
Y2 - 13 November 2016 through 17 November 2016
ER -