Robust Finite-Resolution Transceivers for Decentralized Estimation in Energy-Harvesting-Aided IoT Networks

This article develops novel approaches for designing robust transceivers and energy covariance in an IoT network (IoTNe) powered by energy harvesting (EH). Our goal is to minimize the mean square error (mse) at the fusion center (FC) while considering the uncertainty of channel state information (CSI). The proposed designs incorporate both Gaussian and bounded CSI uncertainty models to model the uncertainty in CSI. Furthermore, two different optimal bit allocation schemes have been proposed for quantizing the measurements from each sensor node (SeN). However, solving the resulting mse optimization problems with constraints on individual SeN power and total bit rate proves to be challenging due to their nonconvex nature under both CSI uncertainty models. To address this challenge, we develop a block coordinate descent (BCD)-based iterative framework. This framework leverages the block convexity of the optimization objective and provides efficient solutions for both uncertainty paradigms considered. By making use of this analytical tractability, we obtain improved performance compared with the uncertainty-agnostic scheme that disregards CSI uncertainty. We validate our approach through numerical simulations, which not only support our analytical findings but also demonstrate the superior performance achieved with our method that accounts for CSI uncertainty.

[1]  Xiaobei Wu,et al.  STAR-RIS Assisted Wireless Powered IoT Networks , 2023, IEEE Transactions on Vehicular Technology.

[2]  Jiefu Chen,et al.  Distributionally Robust Optimal Sensor Placement Method for Site-Scale Methane-Emission Monitoring , 2022, IEEE Sensors Journal.

[3]  R. Trestian,et al.  Unsupervised Deep-Learning-Based Reconfigurable Intelligent Surface-Aided Broadcasting Communications in Industrial IoTs , 2022, IEEE Internet of Things Journal.

[4]  Aditya K. Jagannatham,et al.  Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs , 2022, IEEE Signal Processing Letters.

[5]  H. Vincent Poor,et al.  Age of Information in Energy Harvesting Aided Massive Multiple Access Networks , 2021, IEEE Journal on Selected Areas in Communications.

[6]  Aditya K. Jagannatham,et al.  Bayesian Learning-Based Linear Decentralized Sparse Parameter Estimation in MIMO Wireless Sensor Networks Relying on Imperfect CSI , 2021, IEEE Transactions on Communications.

[7]  Sudip Misra,et al.  DLSense: Distributed Learning-Based Smart Virtual Sensing for Precision Agriculture , 2021, IEEE Sensors Journal.

[8]  Yu-Liang Hsu,et al.  Design and Implementation of an Intelligent Autonomous Surveillance System for Indoor Environments , 2021, IEEE Sensors Journal.

[9]  Aditya K. Jagannatham,et al.  Robust Decentralized and Distributed Estimation of a Correlated Parameter Vector in MIMO-OFDM Wireless Sensor Networks , 2021, IEEE Transactions on Communications.

[10]  Pramod K. Varshney,et al.  Robust Linear Transceiver Designs for Vector Parameter Estimation in MIMO Wireless Sensor Networks Under CSI Uncertainty , 2021, IEEE Transactions on Vehicular Technology.

[11]  Fuhui Zhou,et al.  Intelligent Reflecting Surface Assisted Wireless Powered Sensor Networks for Internet of Things , 2021, IEEE Transactions on Communications.

[12]  Zhibin Wang,et al.  Wireless-Powered Over-the-Air Computation in Intelligent Reflecting Surface-Aided IoT Networks , 2021, IEEE Internet of Things Journal.

[13]  Chao-Hsien Chu,et al.  IoT-Based Unobtrusive Sensing for Sleep Quality Monitoring and Assessment , 2021, IEEE Sensors Journal.

[14]  Peng-Yong Kong,et al.  Cellular-Assisted Device-to-Device Communications for Healthcare Monitoring Wireless Body Area Networks , 2020, IEEE Sensors Journal.

[15]  Prashant Khanduri,et al.  Joint Collaboration and Compression Design for Random Signal Detection in Wireless Sensor Networks , 2020, IEEE Signal Processing Letters.

[16]  S. Barbarossa,et al.  Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks , 2020, IEEE Internet of Things Journal.

[17]  Anders Ahlén,et al.  On Optimal Quantized Non-Bayesian Quickest Change Detection With Energy Harvesting , 2020, IEEE Transactions on Green Communications and Networking.

[18]  B. Schachter Multisensor Fusion , 2020, Automatic Target Recognition, Fourth Edition.

[19]  Bassey Isong,et al.  WaterGrid-Sense: A LoRa-Based Sensor Node for Industrial IoT Applications , 2020, IEEE Sensors Journal.

[20]  Haiping Huang,et al.  Trajectory Optimization for UAVs’ Efficient Charging in Wireless Rechargeable Sensor Networks , 2020, IEEE Transactions on Vehicular Technology.

[21]  Hao Wang,et al.  Robust Linear Beamforming in Wireless Sensor Networks , 2019, IEEE Transactions on Communications.

[22]  Daniel E. Quevedo,et al.  Optimal Energy Allocation in Multisensor Estimation Over Wireless Channels Using Energy Harvesting and Sharing , 2019, IEEE Transactions on Automatic Control.

[23]  Lajos Hanzo,et al.  Integrated Data and Energy Communication Network: A Comprehensive Survey , 2018, IEEE Communications Surveys & Tutorials.

[24]  Inkyu Lee,et al.  Joint Transceiver Designs for MSE Minimization in MIMO Wireless Powered Sensor Networks , 2018, IEEE Transactions on Wireless Communications.

[25]  Rui Zhang,et al.  Trajectory Design for Distributed Estimation in UAV-Enabled Wireless Sensor Network , 2018, IEEE Transactions on Vehicular Technology.

[26]  Azadeh Vosoughi,et al.  On Distributed Linear Estimation With Observation Model Uncertainties , 2017, IEEE Transactions on Signal Processing.

[27]  Inkyu Lee,et al.  Data Precoding and Energy Transmission for Parameter Estimation in MIMO Wireless Powered Sensor Networks , 2017, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).

[28]  Aditya K. Jagannatham,et al.  Precoding for Robust Decentralized Estimation in Coherent-MAC-Based Wireless Sensor Networks , 2017, IEEE Signal Processing Letters.

[29]  G. Marrocco,et al.  Design, Calibration and Experimentation of an Epidermal RFID Sensor for Remote Temperature Monitoring , 2016, IEEE Sensors Journal.

[30]  Rick S. Blum,et al.  Robust Transmit Beamforming for Parameter Estimation Using Distributed Sensors , 2016, IEEE Communications Letters.

[31]  Jie Xu,et al.  Wireless Powered Sensor Networks: Collaborative Energy Beamforming Considering Sensing and Circuit Power Consumption , 2016, IEEE Wireless Communications Letters.

[32]  Pramod K. Varshney,et al.  Optimized Sensor Collaboration for Estimation of Temporally Correlated Parameters , 2016, IEEE Transactions on Signal Processing.

[33]  Tao Jiang,et al.  Optimal Estimation in Wireless Sensor Networks With Energy Harvesting , 2016, IEEE Transactions on Vehicular Technology.

[34]  Azadeh Vosoughi,et al.  Distributed Vector Estimation for Power- and Bandwidth-Constrained Wireless Sensor Networks , 2015, IEEE Transactions on Signal Processing.

[35]  Yuanyuan Yang,et al.  Energy-Efficient Cooperative Tfor Simultaneous Wireless Information and Power Transfer in Clustered Wireless Sensor Networks , 2015, IEEE Transactions on Communications.

[36]  Rui Zhang,et al.  Adaptively Directional Wireless Power Transfer for Large-Scale Sensor Networks , 2015, IEEE Journal on Selected Areas in Communications.

[37]  Zhu Han,et al.  Wireless Charging Technologies: Fundamentals, Standards, and Network Applications , 2015, IEEE Communications Surveys & Tutorials.

[38]  Henry Leung,et al.  A Novel Statistical Model for Distributed Estimation in Wireless Sensor Networks , 2015, IEEE Transactions on Signal Processing.

[39]  Daniel E. Quevedo,et al.  Distortion Minimization in Multi-Sensor Estimation Using Energy Harvesting and Energy Sharing , 2015, IEEE Transactions on Signal Processing.

[40]  Subhrakanti Dey,et al.  Distortion Minimization in Multi-Sensor Estimation With Energy Harvesting , 2015, IEEE Journal on Selected Areas in Communications.

[41]  Pramod K. Varshney,et al.  Sparsity-Aware Sensor Collaboration for Linear Coherent Estimation , 2014, IEEE Transactions on Signal Processing.

[42]  Iain B. Collings,et al.  Random Field Reconstruction With Quantization in Wireless Sensor Networks , 2013, IEEE Transactions on Signal Processing.

[43]  Pramod K. Varshney,et al.  Linear Coherent Estimation With Spatial Collaboration , 2012, IEEE Transactions on Information Theory.

[44]  P. Ubaidulla,et al.  Relay Precoder Optimization in MIMO-Relay Networks With Imperfect CSI , 2011, IEEE Transactions on Signal Processing.

[45]  Stephen P. Boyd,et al.  Convex Optimization , 2004, IEEE Transactions on Automatic Control.

[46]  Andrea J. Goldsmith,et al.  Linear Coherent Decentralized Estimation , 2006, IEEE Transactions on Signal Processing.

[47]  Ghassan Al-Regib,et al.  Rate-Constrained Distributed Estimation in Wireless Sensor Networks , 2006, IEEE Transactions on Signal Processing.

[48]  Bernard C. Levy,et al.  Worst-case MSE precoder design for imperfectly known MIMO communications channels , 2005, IEEE Transactions on Signal Processing.

[49]  B. Widrow,et al.  Statistical theory of quantization , 1996 .

[50]  Jun Zhao,et al.  Joint Node Activation, Beamforming and Phase-Shifting Control In IoT Sensor Network Assisted by Reconfigurable Intelligent Surface , 2022, IEEE Transactions on Wireless Communications.

[51]  Pierluigi Salvo Rossi,et al.  Bandwidth-Constrained Decentralized Detection of an Unknown Vector Signal via Multisensor Fusion , 2020, IEEE Transactions on Signal and Information Processing over Networks.

[52]  Yvonne Freeh Interior Point Algorithms Theory And Analysis , 2016 .

[53]  Erik G. Larsson,et al.  The Sign-Definiteness Lemma and Its Applications to Robust Transceiver Optimization for Multiuser MIMO Systems , 2013, IEEE Transactions on Signal Processing.

[54]  Kaare Brandt Petersen,et al.  The Matrix Cookbook , 2006 .

[55]  Y. Ye Interior point algorithms - theory and analysis , 1998, Wiley-Interscience series in discrete mathematics and optimization.