Quan Lin

University of Jinan

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Papers

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i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Haiyong Luo

Chinese Academy of Sciences

Fang Zhao

Beijing University of Posts and Telecommunications

Yan Ma

Xi’an University of Posts and Telecommunications

Dongya Wang

University of Exeter

Qingxiang Zhang

Jilin University

Shenyi Zhang

National Space Science Center

Wu Yuan

Chinese Academy of Sciences

Yenan Liu

China Academy of Space Technology

Tao Jing

Fudan University

Zheng Yuzhan

China Academy of Space Technology

Cooperative Institutions

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Beijing University of Posts and Telecommunications

National Space Science Center

Space Engineering University

China Academy of Space Technology

Sichuan University

Beijing Institute of Technology

Tsinghua University

Wuhan University

Author Statistics

Papers

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i-10 index

Research Field

A Robust Node Localization Based on Local Network Feature in Wireless Sensor Networks

Fang Zhao Yan Ma Haiyong Luo Zhenhua Ding Quan Lin

This paper presents a robust distributed weighted least-square scaling localization algorithm based on the local network feature. It first filters out 1-hop gross ranging errors of the unknown nodes by using the threshold parameters of extreme ranging overestimates and extreme ranging underestimate with the local network feature, and then employs Gauss-kernel- weighted least squares to position nodes. Simulation results confirm that this localization scheme outperforms traditional weighted least squares, which does not adopt outlier identification scheme. The localization accuracy of the unknown nodes which are directly related to the outliers improves remarkably.

Ranging

Feature (linguistics)

Position (finance)

Kernel (algebra)

RSS

10.1109/wicom.2008.881

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A Mobile Beacon-Assisted Localization Algorithm Based on Network-Density Clustering for Wireless Sensor Networks

Quan Lin Fang Zhao Haiyong Luo

Most existing mobile beacon-assisted localization algorithms do not make effective use of the node distribution information and let the mobile landmark traverse the entire network, which causes large path length and low utilization rate of beacon messages. In order to reduce the path length and use the mobile beacon more effectively, a novel mobile beacon-assisted localization algorithm based on network-density clustering (MBL(ndc)) for wireless sensor networks is presented, which combines node clustering, incremental localization and mobile beacon assisting together. Simulation results demonstrate that the proposed MBL(ndc) algorithm offers comparable localization accuracy as the mobile beacon-assisted localization algorithm with HILBERT trajectory, but with less than 50% path length of the later, which shortens the period of positioning the whole network.

Traverse

Path length

10.1109/msn.2009.12

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Citations (18)

A robust distributed node positioning based on weighted least squares scaling in wireless sensor networks

China-Ireland International Conference on Information and Communications Technologies (CIICT 2008) (2007)

Fang Zhao Yan Ma Haiyong Luo Quan Lin Haijun Zhao

This paper presents a robust distributed node positioning approach which employs weighted least squares scaling with soft constrains. It incorporates the a priori deployment constraints, i.e., minimum and maximum node separation among 2-hop nodes, into localization as soft constraints and penalizes pairs of 2-hop nodes whose assigned coordinates violate the minimum and maximum distance constraints. Combined with applying statistical filtering and consistency checking of the ranging measurements, we improve the location estimates compared with standard least squares scaling. For received signal strength based range measurements, extensive simulation results confirm that this localization scheme outperforms standard least squares scaling and is resilient against large ranging errors and sparse range measurements, which are common in wireless sensor network deployments.

Ranging

Least-squares function approximation

10.1049/cp:20070747

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Study on Matching Between Environmental Warning Information and Spacecraft Anomalies

Journal of Spacecraft and Rockets (2022)

Quan Lin Yenan Liu Ling Li Dongya Wang Kunpeng Wang

The accuracy of space environmental warning information is the basic support for the response mitigation to impact. There are multiple environmental events before and after the solar eruption of the X9.3 megaflare, which has caused many satellite anomalies. In this case, the matching between the warning information and the occurrence levels of four space environmental events was investigated using the analysis methods of statistical analysis and decision tree. The results show that there is a significant correlation between high-energy electron storm events and high-Earth-orbit satellite anomalies, and the accuracy could achieve 67%. Other kinds of space environmental events are weakly related to satellite anomalies. The decision tree evaluation method has advantages in the comprehensive statistical analysis of long-term anomalies data and can effectively reduce the bias introduced by individual cases of solar events. The tree model using multi-environment parameters will be an effective way to reduce false positive rates, which can provide diagnostic methods for medium- and long-term space environment risks in orbit spacecraft in the future.

Space environment

Space Weather

10.2514/1.a35173

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Citations (5)

Radiation environment and effect detection based on global navigation constellation

Open Astronomy (2023)

Quan Lin Dongya Wang Qingxiang Zhang Shenyi Zhang Ling Li

Abstract Combining the anomalies and environmental monitoring data of the early stage Beidou satellites, the space radiation environment spatial/temporal distribution and space radiation effect risk characteristics are analyzed, and the dynamic characteristics of space environmental factors, such as hot plasma, high-energy electron and solar proton are summarized. The systematic joint monitoring for surface charging, internal charging, single event effect and total dose effect with corresponding space environment factors is proposed. The detector types, measurement parameters range and engineering constraints are allocated, and the engineering application and scientific research of detection data are prospected.

Space environment

Space Weather

10.1515/astro-2022-0204

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Citations (2)

Surface charging and dose monitor on geosynchronous orbit satellite

Open Astronomy (2023)

Zheng Yuzhan Qingxiang Zhang Hongwen Xiang Shuai Yao Yi Zheng

Abstract Based on the typical dielectric materials and devices of satellite, a surface charging and dose monitor (SCAD) was developed to measure the surface charging voltage, current, and dose under different shielding depths. The SCAD has been successfully launched into orbit on June 23, 2020. The measurement results on orbit show that the SCAD works normally, and the data of SCAD are reasonable. The results show that the radiation dose rate on geosynchronous orbit is about 0.4 mrad(Si)/s, and the maximum charging voltage is about −800 V during the initial measuring period. The charging voltage is consistent with the trends of geomagnetic disturbance Kp index. The on-orbit data provide basic data on surface charging and discharging effect and total dose effect, supporting the safe and reliable operation of the satellite.

Orbit (dynamics)

South Atlantic Anomaly

10.1515/astro-2022-0211

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Citations (2)

Research and Design of Intelligent Greenhouse Monitoring and Controlling System Based on Wireless Sensor Network

Microelectronics & Computer (2007)

Quan Lin

This paper introduces wireless sensor network technology to greenhouse monitoring and controlling. By deploying moderate size of wireless sensor nodes in the greenhouses, combined with greenhouse controlling system and agriculture expert system, we implement the automatic deployment, wireless communication of greenhouse data gathering and intelligent control of greenhouse environment. All the gathering data can be displayed using popular template-driven output formats, such as graphs, tables, forms, etc. The greenhouse information can be accessed not only on the local monitoring terminal but also on the remote terminal through Internet.

Source

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A remote channel borrowing approach for real-time congestion control in wireless communication

Quan Lin L. Nahar Samya Bhattacharya

This paper presents a novel, and highly practical, global channel borrowing method for cellular communications. Unlike the traditional notion of channel sharing between adjacent cells, we consider the global and dynamic channel borrowing approach that allows real-time borrowing of channels from cells that are remote. We propose heuristics to solve the channel borrowing problem at the instance of high traffic load-which brings in the issues of the remote chain borrowing strategy and the concept of dynamic resource reservation pools. The results of the undertaken strategy are validated by simulation.

Heuristics

Control channel

Channel allocation schemes

10.1109/glocom.1997.644404

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Citations (4)

Distributed Multidimensional Scaling with Relative Error-based Neighborhood Selection for Node Localization in Sensor Networks

IEEE International Conference on Integration Technology (2007)

Haiyong Luo Jintao Li Zhenmin Zhu Wu Yuan Fang Zhao

This paper introduces a distributed weighted-multidimensional scaling algorithm that adaptively emphasizes the lowest relative error within the sensor networks. Each node adaptively chooses a neighborhood of sensors within 1 or 2 hops based on their relative errors and network density, then updates its position estimate by minimizing a local cost function and last passes this update to its neighboring sensors. For received signal-strength (RSS) based range measurements, we demonstrate performance via extensive simulation that location estimates are better than dwMDS(G), especially with rough initial global coordinates and in anisotropic topologies.

RSS

Position (finance)

Multidimensional scaling

Signal strength

10.1109/icitechnology.2007.4290417

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Citations (4)

Parameter identification method for sub-synchronous oscillation signals in power systems based on improved multi-synchrosqueezing transform and automatic recognition algorithm

Neural Computing and Applications (2024)

Quan Lin Yongfeng Zhang Fei Xue Gang Yu

Robustness

Identification

SIGNAL (programming language)

10.1007/s00521-024-10779-x

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Citations (0)