Results 1 to 10 of about 342,012 (212)

Iterative Diffusion-Based Distributed Cubature Gaussian Mixture Filter for Multisensor Estimation [PDF]

open access: goldSensors, 2016
In this paper, a distributed cubature Gaussian mixture filter (DCGMF) based on an iterative diffusion strategy (DCGMF-ID) is proposed for multisensor estimation and information fusion. The uncertainties are represented as Gaussian mixtures at each sensor
Bin Jia, Tao Sun, Ming Xin
doaj   +2 more sources

Performance Analysis of Distributed Estimation for Data Fusion Using a Statistical Approach in Smart Grid Noisy Wireless Sensor Networks [PDF]

open access: yesSensors, 2020
Internet of Things (IoT) can significantly enhance various aspects of today’s electric power grid infrastructures for making reliable, efficient, and safe next-generation Smart Grids (SGs).
Chatura Seneviratne   +2 more
doaj   +2 more sources

Distributed Estimation of Fields Using a Sensor Network with Quantized Measurements [PDF]

open access: yesSensors
In this paper, the problem of estimating a scalar field (e.g., the spatial distribution of contaminants in an area) using a sensor network is considered. The sensors are assumed to have quantized measurements.
Chethaka Jayasekaramudeli   +4 more
doaj   +2 more sources

Distributed Estimation Techniques for Cyber-Physical Systems: A Systematic Review [PDF]

open access: yesSensors, 2019
This paper undertakes a systematic review (SR) on distributed estimation techniques applied to cyber-physical systems (CPS). Even though SRs are not the common way to survey a theme in the control community, they provide a rigorous, robust and objective ...
Carmelina Ierardi   +2 more
doaj   +2 more sources

Consensus Based Strong Tracking Adaptive Cubature Kalman Filtering for Nonlinear System Distributed Estimation

open access: goldIEEE Access, 2019
The distributed cubature Kalman filter is widely used in the field of target tracking, however, the presence of model uncertainties will undermine its tracking stability and effectiveness for tracking maneuvering target. In order to eliminate this effect
Zheng Zhang   +5 more
doaj   +2 more sources

An Effective Adaptive Combination Strategy for Distributed Learning Network

open access: yesApplied Sciences, 2021
In this paper, we develop a modified adaptive combination strategy for the distributed estimation problem over diffusion networks. We still consider the online adaptive combiners estimation problem from the perspective of minimum variance unbiased ...
Chundong Xu, Qinglin Li, Dongwen Ying
doaj   +1 more source

Experimental Validation of Entropy-Driven Swarm Exploration under Sparsity Constraints with Sparse Bayesian Learning

open access: yesEntropy, 2022
Increasing the autonomy of multi-agent systems or swarms for exploration missions requires tools for efficient information gathering. This work studies this problem from theoretical and experimental perspectives and evaluates an exploration system for ...
Christoph Manss   +2 more
doaj   +1 more source

Resilient Distributed Field Estimation [PDF]

open access: yesSIAM Journal on Control and Optimization, 2020
We study resilient distributed field estimation under measurement attacks. A network of agents or devices measures a large, spatially distributed physical field parameter. An adversary arbitrarily manipulates the measurements of some of the agents. Each agent's goal is to process its measurements and information received from its neighbors to estimate ...
Yuan Chen 0006   +2 more
openaire   +3 more sources

A Secure Scheme for Distributed Consensus Estimation against Data Falsification in Heterogeneous Wireless Sensor Networks

open access: yesSensors, 2016
Heterogeneous wireless sensor networks (HWSNs) can achieve more tasks and prolong the network lifetime. However, they are vulnerable to attacks from the environment or malicious nodes.
Shichao Mi   +4 more
doaj   +1 more source

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