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Xiangmao Chang
Researcher at Nanjing University of Aeronautics and Astronautics
Publications - 39
Citations - 305
Xiangmao Chang is an academic researcher from Nanjing University of Aeronautics and Astronautics. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 7, co-authored 34 publications receiving 211 citations. Previous affiliations of Xiangmao Chang include Beijing University of Posts and Telecommunications & Nanjing University.
Papers
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Journal ArticleDOI
An efficient energy hole alleviating algorithm for wireless sensor networks
TL;DR: Experimental results demonstrate that WSNEHPA can efficiently balance the energy consumption of the sensors in the first radius range of the sink, and that the lifetime of the WSNs can be extended efficiently.
Journal ArticleDOI
Sensor Placement Algorithms for Fusion-Based Surveillance Networks
TL;DR: Fast sensor placement algorithms based on a probabilistic data fusion model are presented that can meet the desired detection performance with a small number of sensors while achieving up to seven-fold speedup over the optimal algorithm.
Journal ArticleDOI
Accuracy-Aware Interference Modeling and Measurement in Wireless Sensor Networks
Xiangmao Chang,Jun Huang,Shucheng Liu,Guoliang Xing,Hongwei Zhang,Jianping Wang,Liusheng Huang,Yi Zhuang +7 more
TL;DR: A new regression-based interference model is proposed and analytically characterize its accuracy based on statistics theory and an algorithm is proposed that accurately forecasts the performance of WSNs in the presence of cross-technology interference.
Proceedings ArticleDOI
Aquatic debris monitoring using smartphone-based robotic sensors
TL;DR: The design and implementation of SOAR - a vision-based surveillance robot system that integrates an off-the-shelf Android smartphone and a gliding robotic fish for debris monitoring and the rotation scheduling algorithm enables SOAR to capture debris arrivals with reduced energy consumption.
Journal ArticleDOI
Efficient Coverage Maintenance Based on Probabilistic Distributed Detection
Guoliang Xing,Xiangmao Chang,Chenyang Lu,Jianping Wang,Ke Shen,Robert Pless,Joseph A. O'Sullivan +6 more
TL;DR: This work proposes a new sensing coverage model based on the distributed detection theory, which captures two important characteristics of sensor networks, i.e., probabilistic detection by individual sensors and data fusion among sensors.