J
Jianming Wei
Researcher at Chinese Academy of Sciences
Publications - 38
Citations - 358
Jianming Wei is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Wireless sensor network & Network packet. The author has an hindex of 8, co-authored 36 publications receiving 253 citations. Previous affiliations of Jianming Wei include University of Oldenburg.
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Journal ArticleDOI
Toward Improved RPL: A Congestion Avoidance Multipath Routing Protocol with Time Factor for Wireless Sensor Networks
TL;DR: A congestion avoidance multipath routing protocol which uses composite routing metrics based on RPL, named CA-RPL, which can effectively alleviate the network congestion in the network with poor link quality and large data traffic and significantly improve the performance of LLNs.
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The Statistical Meaning of Kurtosis and Its New Application to Identification of Persons Based on Seismic Signals
TL;DR: Simulation and application results show that this algorithm is very effective in distinguishing person from other targets based on its different sensitivity to different signals.
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A Robust Method to Detect Zero Velocity for Improved 3D Personal Navigation Using Inertial Sensors
TL;DR: The experiments reveal that the removal rate of ZV false detections by the proposed method increases 80% compared with traditional method at high walking speed and the Personal Inertial Navigation System (PINS) algorithm aided by EKF performs better, especially in the altitude aspect.
Journal ArticleDOI
Measurement and Analysis of Near-Ground Propagation Models under Different Terrains for Wireless Sensor Networks
TL;DR: The limit of existing theoretical models is showed and a propagation model selection strategy is proposed to more accurately reflect the true characteristics of the near-ground wireless channels for WSNs to induce great inaccuracy of network connectivity estimation.
Proceedings ArticleDOI
A robust floor localization method using inertial and barometer measurements
TL;DR: A Bayesian Network inference method is proposed to identify pedestrian's floor level accurately in a multistory building with a waist-mounted device and achieves an accuracy of 99.36% with a total number of 1247 times floor change.