An Indoor Localization Approach Based on Fingerprint and Time-Difference of Arrival Fusion

In this paper,an effective target locating approach based on the fingerprint fusion posi-tioning(FFP)method is proposed which integrates the time-difference of arrival(TDOA)and the received signal strength according to the statistical variance of target position in the stationary 3D scenarios.The FFP method fuses the pedestrian dead reckoning(PDR)estimation to solve the moving target localization problem.We also introduce auxiliary parameters to estimate the target motion state.Subsequently,we can locate the static pedestrians and track the the moving target.For the case study,eight access stationary points are placed on a bookshelf and hypermarket;one target node is moving inside hypermarkets in 2D and 3D scenarios or stationary on the bookshelf.We compare the performance of our proposed method with existing localization algorithms such as k-nearest neighbor,weighted k-nearest neighbor,pure TDOA and fingerprinting combining Bayesian frameworks including the extended Kalman filter,unscented Kalman filter and particle fil-ter(PF).The proposed approach outperforms obviously the counterpart methodologies in terms of the root mean square error and the cumulative distribution function of localization errors,espe-cially in the 3D scenarios.Simulation results corroborate the effectiveness of our proposed approach.

Privacy-preserving location authentication for low-altitude UAVs:A blockchain-based approach

Efficient and trusted regulation of unmanned aerial vehicles(UAVs)is an essential but challenging issue in the future era of the Internet of Low-altitude Intelligence,due to the difficulties in UAVs'identity recognition and location matching,potential for falsified information reporting,etc.To address this challenging issue,in this paper,we propose a blockchain-based UAV location authentication scheme,which employs a distance bounding protocol to establish a location proof,ensuring the authenticity of UAV positions.To preserve the privacy of UAVs,anonymous certificates and zero-knowledge proof are used.The security of the proposed scheme is analyzed.Experiments demonstrate the efficiency and feasibility of the proposed scheme.