# On linear coherent estimation with spatial collaboration

@article{Kar2012OnLC, title={On linear coherent estimation with spatial collaboration}, author={Swarnendu Kar and Pramod K. Varshney}, journal={2012 IEEE International Symposium on Information Theory Proceedings}, year={2012}, pages={1448-1452} }

We consider a power-constrained sensor network, consisting of multiple sensor nodes and a fusion center (FC), that is deployed for the purpose of estimating a common random parameter of interest. In contrast to the distributed framework, the sensor nodes are allowed to update their individual observations by (linearly) combining observations from neighboring nodes. The updated observations are communicated to the FC using an analog amplify-and-forward modulation scheme and through a coherent…

## 27 Citations

### Controlled collaboration for linear coherent estimation in wireless sensor networks

- Computer Science2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
- 2012

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 is considered, and it is shown that it is always beneficial to sample as frequently as possible, despite the fact that the samples get increasingly noisy due to the power-constrained nature of the problem.

### Optimal power allocation for distributed blue estimation with linear spatial collaboration

- Computer Science2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- 2014

The main novelty of this paper is the derivation of an optimal power-allocation scheme in which the coefficients used to form linear combinations of noisy observations at the sensors connected to the FC are optimized.

### Sparsity-Aware Sensor Collaboration for Linear Coherent Estimation

- Computer ScienceIEEE Transactions on Signal Processing
- 2015

A unified framework to jointly design the optimal sensor selection and collaboration schemes subject to a certain information or energy constraint is introduced and it is empirically show that there exists a trade-off between sensors selection and sensor collaboration.

### Wireless Power Transfer for Distributed Estimation in Sensor Networks

- Computer ScienceIEEE Journal of Selected Topics in Signal Processing
- 2017

This paper studies power allocation for distributed estimation of an unknown scalar random source in sensor networks with a multiple-antenna fusion center (FC), where wireless sensors are equipped…

### Optimal Power Allocation for Parameter Tracking in a Distributed Amplify-and-Forward Sensor Network

- Computer ScienceIEEE Transactions on Signal Processing
- 2014

The results of several simulations are presented to show that the use of optimal power control provides a significant reduction in either MSE or transmit power compared with a non-optimized approach.

### Joint Collaboration and Compression Design for Random Signal Detection in Wireless Sensor Networks

- Computer ScienceIEEE Signal Processing Letters
- 2021

This work reformulate and solve the collaboration design problem using quadratically constrained quadratic program (QCQP), and designs near-optimal collaboration and linear compression strategies under power constraints via alternating minimization of the sequential minimum mean square error.

### On optimal sensor collaboration topologies for linear coherent estimation

- Computer Science2014 IEEE International Symposium on Information Theory
- 2014

This work presents a tractable optimization framework and proposes efficient methods to solve the formulated sensor collaboration problems and aims to find optimal sparse collaboration topologies subject to a certain information or energy constraint.

### Optimized Sensor Collaboration for Estimation of Temporally Correlated Parameters

- Computer ScienceIEEE Transactions on Signal Processing
- 2016

This paper addresses the sensor collaboration problem for the estimation of uncorrelated parameters, and shows that the resulting collaboration problem can be transformed into a special nonconvex optimization problem, where a difference of convex functions carries all the non Convexity.

### Distributed Estimation in Large Scale Wireless Sensor Networks via a Two Step Group-based Approach

- Computer Science
- 2022

A clusterbased sensor selection scheme using mutual information prior to estimation to select sensors with maximum relevance and minimum redundancy regarding the parameter of interest under certain pre-specified energy constraint is proposed.

### Robust Linear Transceiver Designs for Vector Parameter Estimation in MIMO Wireless Sensor Networks Under CSI Uncertainty

- Computer ScienceIEEE Transactions on Vehicular Technology
- 2021

This work conceives the robust linear transceivers for the estimation of an unknown vector parameter in a coherent multiple access channel (MAC)-based multiple-input multiple-output (MIMO)…

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