TY - GEN
T1 - SenetSHM
T2 - 6th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2016, 9th IEEE International Conference on Social Computing and Networking, SocialCom 2016 and 2016 IEEE International Conference on Sustainable Computing and Communications, SustainCom 2016
AU - Liu, Xuefeng
AU - Cao, Jiannong
AU - Guo, Peng
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/26
Y1 - 2016/10/26
N2 - Due to low cost, high scalability and ease of deployment, wireless sensor networks (WSNs) have been considered a promising tool for structural health monitoring (SHM). Although many WSN-based SHM systems have been deployed, we notice that the design of many systems has deviated from the real requirements in SHM. For example, many systems focus on energy-efficiency, which is however not the requirements for many SHM applications where only a-few-hour data collection is required. A large portion of the existing systems strives to improve wireless throughput, which we believe, is not a viable approach for data-intensive SHM applications. On the other hand, some real requirements in SHM, such as high-frequency and synchronized sensing with real-time onboard data storage, fast, reliable and unified wakeup of sensor nodes in the presence of some events, and embedding efficient and effective SHM algorithms in resource-limited sensor nodes, etc., have not been fully addressed. In this paper, we designed a practical WSN-based platform called SenetSHM. SenetSHM leverages novel techniques to handle the above problems and can be configured for various SHM applications. We share our experiences by stepping from the hardware and software design of the SenetSHM.
AB - Due to low cost, high scalability and ease of deployment, wireless sensor networks (WSNs) have been considered a promising tool for structural health monitoring (SHM). Although many WSN-based SHM systems have been deployed, we notice that the design of many systems has deviated from the real requirements in SHM. For example, many systems focus on energy-efficiency, which is however not the requirements for many SHM applications where only a-few-hour data collection is required. A large portion of the existing systems strives to improve wireless throughput, which we believe, is not a viable approach for data-intensive SHM applications. On the other hand, some real requirements in SHM, such as high-frequency and synchronized sensing with real-time onboard data storage, fast, reliable and unified wakeup of sensor nodes in the presence of some events, and embedding efficient and effective SHM algorithms in resource-limited sensor nodes, etc., have not been fully addressed. In this paper, we designed a practical WSN-based platform called SenetSHM. SenetSHM leverages novel techniques to handle the above problems and can be configured for various SHM applications. We share our experiences by stepping from the hardware and software design of the SenetSHM.
UR - https://www.scopus.com/pages/publications/85000938318
U2 - 10.1109/BDCloud-SocialCom-SustainCom.2016.68
DO - 10.1109/BDCloud-SocialCom-SustainCom.2016.68
M3 - 会议稿件
AN - SCOPUS:85000938318
T3 - Proceedings - 2016 IEEE International Conferences on Big Data and Cloud Computing, BDCloud 2016, Social Computing and Networking, SocialCom 2016 and Sustainable Computing and Communications, SustainCom 2016
SP - 416
EP - 423
BT - Proceedings - 2016 IEEE International Conferences on Big Data and Cloud Computing, BDCloud 2016, Social Computing and Networking, SocialCom 2016 and Sustainable Computing and Communications, SustainCom 2016
A2 - Cai, Zhipeng
A2 - Luo, Guangchun
A2 - Cheng, Liang
A2 - Angryk, Rafal
A2 - Li, Yingshu
A2 - Bourgeois, Anu
A2 - Song, Wenzhan
A2 - Cao, Xiaojun
A2 - Krishnamachari, Bhaskar
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 October 2016 through 10 October 2016
ER -