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- W2377983822 abstract "A new Gaussian Cost-Reference particle filtering algorithm and associated multi-sensor dynamic collaboration scheme were proposed for target tracking applications in wireless sensor networks(WSN).The new collaborative tracking algorithm has two absorbing features:(1) robust.It does not assume explicit mathematical models of the noise probabilistic distributions common to generic particle filter.This feature is very important for WSN applications because of the environmental uncertainty and complexity.(2) energy-efficient.It approximates the posterior probabilistic distributions by single Gaussians.When handing over the tracking task from one node to another, only the Gaussian mean and covariance but not the raw particles and associated weights need to be propagated.The Gaussian approximation can observably reduce communication burden, thus the network lifetime is efficiently prolonged.Simulation part evaluated the proposed algorithm by the metrics of tracking precision and communication complexity." @default.
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- W2377983822 date "2009-01-01" @default.
- W2377983822 modified "2023-09-26" @default.
- W2377983822 title "Target Tracking Algorithm in Wireless Sensor Networks Based on Gaussian Cost-Reference Particle Filter" @default.
- W2377983822 hasPublicationYear "2009" @default.
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