Privacy-Preserving Distributed Beamformer Design Techniques for Correlated Parameter Estimation

Alternating direction method of multipliers (ADMM); coherent multiple access channel (MAC); decentralized parameter estimation; distributed beamforming; privacy-preserving; wireless sensor networks (WSNs); Alternating direction method of multiplier; Alternating directions method of multipliers; Coherent MAC; Decentralised; Decentralized parameter estimation; Distributed beamforming; Parameters estimation; Privacy preserving; Quantization (signal); Sensor systems; Instrumentation; Electrical and Electronic Engineering

Abstract :

[en] Privacy-preserving distributed beamforming designs are conceived for temporally correlated vector parameter estimation in an orthogonal frequency division multiplexing (OFDM)-based wireless sensor network (WSN). The temporal correlation inherent in the parameter vector is exploited by the rate distortion theory-based bit allocation framework used for the optimal quantization of the sensor measurements. The proposed distributed beamforming designs are derived via fusion of the dual consensus alternating direction method of multiplier (DC-ADMM) technique with a pertinent privacy-preserving framework. This makes it possible for each sensor node (SN) to design its transmit precoders in a distributed fashion, which minimizes the susceptibility of vital information to malicious eavesdropper (Ev) nodes, while simultaneously avoiding the significant communication overhead required by a centralized approach for the transmission of the state information to the fusion center (FC). The Bayesian Cramer-Rao bound (BCRB) is derived for benchmarking the estimation performance of the proposed transmit beamformer and receiver combiner designs, while our simulation results illustrate the performance and explicitly demonstrate the trade-off between the privacy and estimation performance.

Research center :

Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SPARC- Signal Processing Applications in Radar and Communications

Precision for document type :

Case briefs/Comments on statutes or statutory instruments

Disciplines :

Electrical & electronics engineering

Author, co-author :

Ahmed, Mohammad Faisal ; Cisco Systems India Private Ltd., Bengaluru, India

RAJPUT, Kunwar ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC ; Indian Institute of Technology Kanpur, Department of Electrical Engineering, Kanpur, India

Venkategowda, Naveen K. D. ; Linköping University, Department of Science and Technology, Norrköping, Sweden

Jagannatham, Aditya K. ; Indian Institute of Technology Kanpur, Department of Electrical Engineering, Kanpur, India

Hanzo, Lajos ; University of Southampton, School of Electronics and Computer Science, Southampton, United Kingdom

External co-authors :

yes

Language :

English

Title :

Privacy-Preserving Distributed Beamformer Design Techniques for Correlated Parameter Estimation

Publication date :

06 September 2023

Journal title :

IEEE Sensors Journal

ISSN :

1530-437X

eISSN :

1558-1748

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

Issue :

Pages :

26728 - 26739

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Security, Reliability and Trust

Development Goals :

9. Industry, innovation and infrastructure

Additional URL :

http://xplorestaging.ieee.org/ielx7/7361/10302460/10242336.pdf?arnumber=10242336

Data Set :

https://ieeexplore-ieee-org.proxy.bnl.lu/document/10242336

Available on ORBilu :

since 22 November 2023

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