Sensor Data Processing System Research Articles

Measurement of Cable Force through a Fiber Bragg Grating-Type Thin Rod Vibration Sensor and Its Application.

The key to evaluating the health status of cable-stayed bridges lies in the accuracy of cable force measurement. When measuring the cable force using the conventional frequency method, the clearance between the bracing cable and the protective tube is typically disregarded. Moreover, due to their large size, existing vibration sensors are difficult to install into protective tubes for steel strand-type bracing cables to measure the cable force. To address the above difficulties, a type of thin rod vibration sensor only 5 mm in diameter was designed based on the high sensitivity of Fiber Bragg grating (FBG), and high-throughput data processing software for engineering calculation (EC) was self-developed. Then, the recognition principle of the thin rod vibration sensor was theoretically analyzed and a step-by-step tension test was carried out. The results demonstrated that the relative error of the cable force measured by the thin rod vibration sensor within 12.865 Hz was less than 5% and the sensitivity reached 28.7 pm/Hz, indicating its high measurement precision. Upon subsequent application of the thin rod vibration sensor to a monitoring test in the field, the relative error of the fundamental frequency between artificial and natural excitations was less than 4%. In addition, the error relative to both the theoretical frequency and the third-party sampling frequency was less than 5%, further verifying the accuracy and applicability for monitoring the cable force of bridges under natural excitation. Compared with the traditional cantilever FBG sensor, the improved sensor with supporting data processing software has the advantages of small cross-section, high reliability, and good sensitivity. The research results can provide a reference for the subsequent accurate measurement of cable force and the development of a supporting sensor data processing system.

Cloud-based RFID mutual authentication scheme for efficient privacy preserving in IoV

With the continuous development of comprehensive technologies in various fields, the cyber-physical systems has been successfully applied in many fields in a large scale. The privacy and security issues in the system have gradually become the focus of attention. This article focuses on privacy protection issues in the area of Internet of Vehicles (IoV). IoV has developed rapidly and come into public consciousness quickly. Radio Frequency Identification (RFID) technology is a safe and reliable sensor data processing system, which is widely used in IoV. However, RFID system often suffers some risks of privacy disclosure. For example the owners are reluctant to disclose their private information such as their precise location information to the public network. Faced with those security risks, it is of great importance for the RFID system applied to IoV to protect private information. In this paper, we propose a cloud-based mutual authentication protocol aiming at ensuring efficient privacy preserving in IoV system, which enables people the efficiently and intelligently travel mode while protecting their privacy from divulging. Moreover, that the anonymity of tag is implemented not only protects the privacy data of the owners, but also prevents the malicious tracking from outside attackers. As to the proposed scheme, the proof based on BAN logic indicates it is of logic security. Security analysis and performance evaluation show that the scheme can be a good security solution for IoV with the feature of good safety and reliability.

Efficient Sensor Stream Data Processing System to use Cache Technique for Ubiquitous Sensor Network Application Service

Problem statement: For the purpose of supporting application services in the Ubiquitous Sensor Network (USN) environment, efficient processing of stream data that occur in the sensor nodes and relevant utilization technologies are being stu died. Approach: The conversion of various sensor stream data that occur in the sensor nodes into sen sor data suitable for use in the upper-level application system is required through sensing data monitoring by applying meta-database from the middleware on the server side. Results: In the earlier developed sensor data processing sy stem, unnecessary search and operation were performed from the middleware on the server side as for sensor stream data that occurred in the same sensor node o r in the similar area. Conclusion/Recommendations: In this study, sensing cache technique is used and efficient sensor data stream processing system is designed and built to reduce the redundant sensor d ata stream processing.