An adaptive sliding window for anomaly detection of time series in wireless sensor networks

Z Wang, Y Wang, C Gao, F Wang, T Lin, Y Chen - Wireless Networks, 2022 - Springer
Recent years, anomaly detection for time series in wireless sensor networks has attracted
much research attention. Existing anomaly detection methods based on pattern …

The sequential fusion estimation algorithms based on Gauss-Newton method over multi-agent networked systems

M Wu, L Zhong, L Tan, N Xiong - IEEE Access, 2020 - ieeexplore.ieee.org
In multi-agent networked systems, parameter estimation problems arising in many practical
applications are often required to solve Non-Linear Least Squares (NLLS) problems with the …

[HTML][HTML] An edge-cloud collaboration architecture for pattern anomaly detection of time series in wireless sensor networks

C Gao, P Yang, Y Chen, Z Wang, Y Wang - Complex & Intelligent Systems, 2021 - Springer
With large deployment of wireless sensor networks, anomaly detection for sensor data is
becoming increasingly important in various fields. As a vital data form of sensor data, time …

A Robust Adaptive Filter for Diffusion Strategy-based Distributed Active Noise Control

R Kranthi, Vasundhara - IETE Journal of Research, 2023 - Taylor & Francis
Active noise reduction in the existential of impulsive noise poses to be a serious challenge
in a distributed scenario. The conventional centralized multichannel active noise control …

A range-based adaptive target localization method in wireless sensor networks with mobile anchors

M Wu, J Zhao, W Dai, X Gui - 2018 2nd IEEE Advanced …, 2018 - ieeexplore.ieee.org
This paper proposes a range-based adaptive target localization method in wireless sensor
networks with mobile anchors. In the proposed method, we assume that the communication …

Investigation of hierarchical communication method for optimizing limited energy in wireless sensor networks

QAMA Alshawi - 2017 - acikbilim.yok.gov.tr
In this thesis, we evaluated a clustering based method for heterogeneous wireless sensor
networks. In our method we changed the cluster head election probability as dynamically …