A coalitional game for distributed estimation in wireless sensor networks
We consider a collaborative estimation problem using dependent observations in a wireless
sensor network, where each sensor aims to maximize its estimation performance in terms of …
sensor network, where each sensor aims to maximize its estimation performance in terms of …
A coalitional game for distributed inference in sensor networks with dependent observations
H He, PK Varshney - IEEE Transactions on Signal Processing, 2015 - ieeexplore.ieee.org
We consider the problem of collaborative inference in a sensor network with heterogeneous
and statistically dependent sensor observations. Each sensor aims to maximize its inference …
and statistically dependent sensor observations. Each sensor aims to maximize its inference …
On optimal sensor collaboration topologies for linear coherent estimation
In the context of distributed estimation we consider the problem of sensor collaboration,
which refers to the act of sharing measurements with neighboring sensors prior to …
which refers to the act of sharing measurements with neighboring sensors prior to …
Controlled collaboration for linear coherent estimation in wireless sensor networks
S Kar, PK Varshney - 2012 50th Annual Allerton Conference …, 2012 - ieeexplore.ieee.org
We consider a wireless sensor network consisting of multiple nodes that are coordinated by
a fusion center (FC) in order to estimate a common signal of interest. In addition to being …
a fusion center (FC) in order to estimate a common signal of interest. In addition to being …
Power constrained distributed estimation with cluster-based sensor collaboration
We consider the problem of distributed estimation in a power constrained collaborative
wireless sensor network (WSN), where the network is divided into a set of sensor clusters …
wireless sensor network (WSN), where the network is divided into a set of sensor clusters …
Distributed Estimation in Large Scale Wireless Sensor Networks via a Two Step Group-based Approach
We consider the problem of collaborative distributed estimation in a large scale sensor
network with statistically dependent sensor observations. In collaborative setup, the aim is to …
network with statistically dependent sensor observations. In collaborative setup, the aim is to …
Minimum energy decentralized estimation in sensor network with correlated sensor noise
A Krasnopeev, JJ Xiao, ZQ Luo - Proceedings.(ICASSP'05) …, 2005 - ieeexplore.ieee.org
We consider the problem of a single parameter estimation by a sensor network with a fusion
center (FC). Sensor observations are corrupted by additive noise which can have arbitrary …
center (FC). Sensor observations are corrupted by additive noise which can have arbitrary …
Distributed estimation in general directed sensor networks based on batch covariance intersection
The paper presents a distributed estimation scheme based on a new batch covariance
intersection (BCI) strategy and an average consensus algorithm to address the problem of …
intersection (BCI) strategy and an average consensus algorithm to address the problem of …
Distributed estimation with data association: Is the nearest neighbor the most informative?
In distributed multi-sensor estimation/tracking the problem of measurement fusion arises. In
large sensor networks (SN), each sensor is constrained by bandwidth to communicate only …
large sensor networks (SN), each sensor is constrained by bandwidth to communicate only …
Optimal linear decentralized estimation in a bandwidth constrained sensor network
Consider a bandwidth constrained sensor network in which a set of distributed sensors and
a fusion center (FC) collaborate to estimate an unknown vector. Due to power and cost …
a fusion center (FC) collaborate to estimate an unknown vector. Due to power and cost …