A wireless sensor network node designed for exploring a structural health monitoring application

Wu, Jian; Yuan, Shenfang; Zhao, Xia; Yin, Yue; Ye, Weisong

doi:10.1088/0964-1726/16/5/046

Cited by 32 publications

(20 citation statements)

References 14 publications

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“…Regarding the design of WSN sensor nodes, till now, plenty of literature has reported the implementation of different kinds of WSN sensor nodes [7,26–29]. Besides different kind of microprocessors, such as MSP430F149, SA1100, reconfigurable hardware, especially FPGAs, have been proposed by numerous authors to be the main processing components to design the sensor nodes [30–40].…”

Section: Related Workmentioning

confidence: 99%

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Providing Self-Healing Ability for Wireless Sensor Node by Using Reconfigurable Hardware

Yuan

Qiu

Gao

et al. 2012

Sensors

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Wireless sensor networks (WSNs) have received tremendous attention over the past ten years. In engineering applications of WSNs, a number of sensor nodes are usually spread across some specific geographical area. Some of these nodes have to work in harsh environments. Dependability of the Wireless Sensor Network (WSN) is very important for its successful applications in the engineering area. In ordinary research, when a node has a failure, it is usually discarded and the network is reorganized to ensure the normal operation of the WSN. Using appropriate WSN re-organization methods, though the sensor networks can be reorganized, this causes additional maintenance costs and sometimes still decreases the function of the networks. In those situations where the sensor networks cannot be reorganized, the performance of the whole WSN will surely be degraded. In order to ensure the reliable and low cost operation of WSNs, a method to develop a wireless sensor node with self-healing ability based on reconfigurable hardware is proposed in this paper. Two self-healing WSN node realization paradigms based on reconfigurable hardware are presented, including a redundancy-based self-healing paradigm and a whole FPAA/FPGA based self-healing paradigm. The nodes designed with the self-healing ability can dynamically change their node configurations to repair the nodes' hardware failures. To demonstrate these two paradigms, a strain sensor node is adopted as an illustration to show the concepts. Two strain WSN sensor nodes with self-healing ability are developed respectively according to the proposed self-healing paradigms. Evaluation experiments on self-healing ability and power consumption are performed. Experimental results show that the developed nodes can self-diagnose the failures and recover to a normal state automatically. The research presented can improve the robustness of WSNs and reduce the maintenance cost of WSNs in engineering applications.

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Section: Related Workmentioning

confidence: 99%

“…Figure 3 shows the typical WSN strain sensor node structure [5,6]. This node typically has three main modules, namely the sensor module, processing module and wireless RF module.…”

Section: Implementation Of the Self-healing Wsn Nodesmentioning

confidence: 99%

Providing Self-Healing Ability for Wireless Sensor Node by Using Reconfigurable Hardware

Yuan

Qiu

Gao

et al. 2012

Sensors

Self Cite

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“…In wireless sensor networks for structural health monitoring [1][2][3], a large number of sensor nodes are deployed in the monitoring area [4] to implement data sensing and data acquisition in real time. Such information of structural health status is sent to the base station for users to make decisions.…”

Section: Introductionmentioning

confidence: 99%

A Method of Data Recovery Based on Compressive Sensing in Wireless Structural Health Monitoring

Sun²,

Shen³

2014

Mathematical Problems in Engineering

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In practical structural health monitoring (SHM) process based on wireless sensor network (WSN), data loss often occurs during the data transmission between sensor nodes and the base station, which will affect the structural data analysis and subsequent decision making. In this paper, a method of recovering lost data in WSN based on compressive sensing (CS) is proposed. Compared with the existing methods, it is a simple and stable data recovery method and can obtain lower recovery data error for one-dimensional SHM’s data loss. First, response signalxis measured onto the measurement data vectorythrough inner products with random vectors. Note thatyis the linear projection ofxandyis permitted to be lost in part during the transmission. Next, when the base station receives the incomplete data, the response signalxcan be reconstructed from the data vectoryusing the CS method. Finally, the test of active structural damage identification on LF-21M aviation antirust aluminum plate is proposed. The response signal gathered from the aluminum plate is used to verify the data recovery ability of the proposed method.

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“…When implementing a cable-based SHM system for large engineering structures, massive interconnections from sensors to the centralized data server require complex configurations of hardware systems which cause the heavy weight of the system and the decreasing of system reliability. To solve above problems, plenty of literatures have been published regarding applying wireless sensor network (WSN) technology to SHM, including various nodes development, such as strain, impedance, acceleration and active monitoring nodes [5][6][7][8][9][10], energy harvesting, or recharging WSN node methods [11,12], evaluations of the WSN-based SHM systems on bridges and aircraft structures [13][14][15][16][17]. However, because of the limitations in terms of power, bandwidth, memory size and reliability, extensive research of WSN-based SHM technology is still being conducted.…”

Section: Introductionmentioning

confidence: 99%

Mobile Multi-Agent Evaluation Method for Wireless Sensor Networks-Based Large-Scale Structural Health Monitoring

Yuan

Liang

Qiu

et al. 2012

International Journal of Distributed Sensor Networks

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Wireless sensor networks are increasingly adopted both in aircraft and civil structural health monitoring. However, due to the limited resources on a wireless sensor node, structural evaluation ability of the wireless sensor network is also limited, especially for large-scale structures. This paper presents a multi-agent cooperation system based on mobile agent technology for wireless sensor network-based structural health monitoring which deals with the evaluation of large-scale structure. Mobile agent with the signal processing or evaluation algorithm is designed to migrate among different sensor nodes and perform network selforganization, data processing, information fusion, and damage estimation. This method can reduce the request to the sensor nodes and achieve a better monitoring and evaluation performance through multiagent cooperation. The proposed mobile multiagent system is evaluated by a large dimension aerospace aluminum structure monitoring experiment in which strain distribution and joint failure are monitored by different sensors. Experimental results show that the system can significantly improve the monitoring performance for large-scale structures.

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A wireless sensor network node designed for exploring a structural health monitoring application

Cited by 32 publications

References 14 publications

Providing Self-Healing Ability for Wireless Sensor Node by Using Reconfigurable Hardware

Providing Self-Healing Ability for Wireless Sensor Node by Using Reconfigurable Hardware

A Method of Data Recovery Based on Compressive Sensing in Wireless Structural Health Monitoring

Mobile Multi-Agent Evaluation Method for Wireless Sensor Networks-Based Large-Scale Structural Health Monitoring

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