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In this paper, we propose a new distributed sensor fusion algorithm for environmental monitoring by wireless sensor networks (WSNs). The considered WSNs are assumed to have limited communication capabilities. For each sensor node, a set of local estimation algorithms are maintained as its fused model for environmental variable to be sensed. The proposed algorithm relies on local information exchange...
In this paper, we propose a subgradient optimization method for pedestrian localization based on received signal strength in wireless network. The objective function of weighted least-squares estimation is adopted, which shows good convexity and has immunity to shadowing effect. We also approximate the subgradient of the objective function by a recursive form so that it can be implemented in a decentralized...
This work deals with the distributed measurement and reconstruction of time-varying spatial fields using wireless sensor networks (WSN).We use basis functions to formulate a low-dimensional subspace model for the field and estimate the field coefficients using a suitably modified version of consensus propagation (CP), which is a distributed asynchronous averaging algorithm with favorable convergence...
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determined but sparse linear regression problems. This paper develops an algorithm to estimate the regression coefficients via Lasso when the training data is distributed across different agents, and their communication to a central...
Motivated by a peer-to-peer estimation algorithm in which adaptive weights are optimized to minimize the estimation error variance, we formulate and solve a novel nonconvex Lipschitz optimization problem that guarantees global stability of a large class of peer-to-peer consensus-based algorithms for wireless sensor network. Because of packet losses, the solution of this optimization problem cannot...
Moore at al. presented in [1] a cluster-based distributed algorithm for localizing wireless sensor network (WSN) nodes in presence of range measurement noise. They introduced the notion of "robust quadrilaterals" as a means of avoiding flip ambiguities that often corrupt the results of localization algorithm. This paper1 proposes an enhancement of the algorithm presented in [1] that uses...
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