A wireless sensor network For structural monitoring

By Ning Xu, Sumit Rangwala, Krishna Chintalapudi, Deepak Ganesan, A. Broad, Ramesh Govindan, Deborah Estrin. ACM International Conference on Embedded Networked Sensor Systems, 2004

1,277 citations recorded by the source corpus.

Structural monitoring---the collection and analysis of structural response to ambient or forced excitation--is an important application of networked embedded sensing with significant commercial potential. The first generation of sensor networks for structural monitoring are likely to be data acquisition systems that collect data at a single node for centralized processing. In this paper, we discuss the design and evaluation of a wireless sensor network system (called Wisden for structural data acquisition. Wisden incorporates two novel mechanisms, reliable data transport using a hybrid of end-to-end and hop-by-hop recovery, and low-overhead data time-stamping that does not require global clock synchronization. We also study the applicability of wavelet-based compression techniques to overcome the bandwidth limitations imposed by low-power wireless radios. We describe our implementation of these mechanisms on the Mica-2 motes and evaluate the performance of our implementation. We also report experiences from deploying Wisden on a large structure.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/c3b9fdb58de3d8554fe8220572372afca1d0cb82

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In Computer Networks and Communications

Citations in the corpus

A wireless sensor network for structural health monitoring: performance and experience (2005, positive): “In this section, we summarize the design of Wisden for completeness—a more detailed exposition may be found in [12].”
Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey (2017, background): “In the reviewed literature, real-world deployments of SHM systems have had sensor sampling rates ranging from 100 to 1000 Hz, node densities up to 70 nodes, and the number of hops to traverse the network ranging from 1 to 46 [5], [59]–[61].”
Energy efficient and QoS based routing protocol for wireless sensor networks (2010, neutral): “Examples of applications include target tracking in battlefields [7], habitat monitoring [18], civil structure monitoring [28], forest fire detection [13], and factory maintenance [24].”
Compressive sampling for accelerometer signals in structural health monitoring (2011, neutral): “(12) (19) (13) (14) (15) (16) (17) (18) (2) (3) (4) (5) (6) (7) (8) (9)(10)(11)”
ATPC: adaptive transmission power control for wireless sensor networks (2006, neutral): “With the integration of sensing and communication abilities in tiny devices, wireless sensor networks are widely deployed in a variety of environments, supporting military surveillance [1] [24], emergency response [41], and scientific exploration [36].”
Design and deployment of industrial sensor networks: experiences from a semiconductor plant and the north sea (2005, background): “Work at USC and CENS [9] [21] has focused on gathering vibration to monitor structures for Figure 1.”
Macro-programming Wireless Sensor Networks Using Kairos (2005, methodology): “The utility and practicality of dense sensing using wireless sensor networks has also been demonstrated recently [4–6].”
PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks (2007, background): “They include surveillance [1], tracking at critical facilities [2], or monitoring animal habitats [3].”
Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction (2019, background): “and data communication between sensor nodes for data-intensive SHM.(136,19) On the contrary, recently hierarchical processing has been used intensively in WSNs for SHM.”
The Tenet architecture for tiered sensor networks (2006, methodology): “PSFQ [37] (Pump Slowly, Fetch Quickly) is a hopby-hop reliable transport protocol designed for sensor network reprogramming, Wisden [39] is a system for reliably transporting structural vibration data from a collection of sensors to a base station, and DataRel [34] provides a TCPlike abstraction for”
MMSN: Multi-Frequency Media Access Control for Wireless Sensor Networks (2006, methodology): “• Instead of using pair-wise RTS/CTS frequency negotiation [26] [27] [28] [14], we propose lightweight frequency assignment, which takes advantage of the static property of many deployed wireless sensor networks [29] [30] [31] [32].”
Monitoring heritage buildings with wireless sensor networks: The Torre Aquila deployment (2009, background): “On the software side, real-world deployments mostly feature ad-hoc implementations [10, 13, 22], which make very difficult extending or adapting their functionality to different scenarios.”
Fidelity and yield in a volcano monitoring sensor network (2006, background): “Fidelity and Yield in a Volcano Monitoring Sensor Network Geoff WernerAllen*, Konrad Lorincz*, Jeff Johnson , Jonathan Lees , and Matt Welsh* * Division of Engineering and Applied Sciences, Harvard University Dept. of Earth Sciences, University of New Hampshire Dept. of Geological Sciences, Unive”