On Kalman-Consensus Filtering with Random Link Failures

Over the past decades, wireless sensor networks have attracted increasing research attention due primarily to their potential applications in various realms including seismic sensing, battlefield surveillance, intelligent transportation, and machine health monitoring by Akyildiz et al. (Comput. Netw. 38(4):393–422 (2002), [1]). A typical sensor network is composed of a group of autonomous sensor nodes spatially disseminated over certain monitored regions. Each sensor node shares the local information over the network via wireless communication to help the system complete complicated tasks in a cooperative manner.

[1]  Alireza Tahbaz-Salehi,et al.  Consensus Over Ergodic Stationary Graph Processes , 2010, IEEE Transactions on Automatic Control.

[2]  W. Niehsen,et al.  Information fusion based on fast covariance intersection filtering , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

[3]  Tingwen Huang,et al.  An Event-Triggered Approach to State Estimation for a Class of Complex Networks With Mixed Time Delays and Nonlinearities , 2016, IEEE Transactions on Cybernetics.

[4]  Fuad E. Alsaadi,et al.  A Resilient Approach to Distributed Filter Design for Time-Varying Systems Under Stochastic Nonlinearities and Sensor Degradation , 2017, IEEE Transactions on Signal Processing.

[5]  Giorgio Battistelli,et al.  Consensus CPHD Filter for Distributed Multitarget Tracking , 2013, IEEE Journal of Selected Topics in Signal Processing.

[6]  Donghua Zhou,et al.  Event-Based Recursive Distributed Filtering Over Wireless Sensor Networks , 2015, IEEE Transactions on Automatic Control.

[7]  Yuan Gao,et al.  New approach to information fusion steady-state Kalman filtering , 2005, Autom..

[8]  José M. F. Moura,et al.  Consensus+Innovations Distributed Kalman Filter With Optimized Gains , 2016, IEEE Transactions on Signal Processing.

[9]  Derui Ding,et al.  Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks , 2017, Autom..

[10]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[11]  M. Mesbahi,et al.  Agreement over random networks , 2004, CDC.

[12]  Reza Olfati-Saber,et al.  Distributed Kalman filtering for sensor networks , 2007, 2007 46th IEEE Conference on Decision and Control.

[13]  Zidong Wang,et al.  Event-based security control for discrete-time stochastic systems , 2016 .

[14]  Baltasar Beferull-Lozano,et al.  Adaptive Consensus-Based Distributed Kalman Filter for WSNs with Random Link Failures , 2016, 2016 International Conference on Distributed Computing in Sensor Systems (DCOSS).

[15]  Bruno Sinopoli,et al.  Kalman filtering with intermittent observations , 2004, IEEE Transactions on Automatic Control.

[16]  Giorgio Battistelli,et al.  Consensus-Based Linear and Nonlinear Filtering , 2015, IEEE Transactions on Automatic Control.

[17]  John S. Baras,et al.  Consensus-based linear distributed filtering , 2012, Autom..

[18]  Lei Guo,et al.  Resilient Control of Networked Control System Under DoS Attacks: A Unified Game Approach , 2016, IEEE Transactions on Industrial Informatics.

[19]  Qing-Long Han,et al.  Variance-Constrained Distributed Filtering for Time-Varying Systems With Multiplicative Noises and Deception Attacks Over Sensor Networks , 2017, IEEE Sensors Journal.

[20]  Robert Babuska,et al.  Distributed nonlinear estimation for robot localization using weighted consensus , 2010, 2010 IEEE International Conference on Robotics and Automation.

[21]  Hongli Dong,et al.  Filter design, fault estimation and reliable control for networked time-varying systems: a survey , 2017 .

[22]  Qi Han,et al.  Journal of Network and Systems Management ( c ○ 2007) DOI: 10.1007/s10922-007-9062-0 A Survey of Fault Management in Wireless Sensor Networks , 2022 .

[23]  Stephen P. Boyd,et al.  Fast linear iterations for distributed averaging , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[24]  Giuseppe Carlo Calafiore,et al.  Distributed linear estimation over sensor networks , 2009, Int. J. Control.

[25]  Lihua Xie,et al.  Distributed Inference for Relay-Assisted Sensor Networks With Intermittent Measurements Over Fading Channels , 2015, IEEE Transactions on Signal Processing.

[26]  José M. F. Moura,et al.  Distributed Kalman Filtering With Dynamic Observations Consensus , 2015, IEEE Transactions on Signal Processing.

[27]  Lihua Xie,et al.  Asymptotically Optimal Parameter Estimation With Scheduled Measurements , 2013, IEEE Transactions on Signal Processing.

[28]  Donghua Zhou,et al.  Event-Based $H_{\infty}$ Consensus Control of Multi-Agent Systems With Relative Output Feedback: The Finite-Horizon Case , 2015, IEEE Transactions on Automatic Control.

[29]  Fuad E. Alsaadi,et al.  Robust ${\mathscr {H}}_{\infty }$ Filtering for a Class of Two-Dimensional Uncertain Fuzzy Systems With Randomly Occurring Mixed Delays , 2017, IEEE Transactions on Fuzzy Systems.

[30]  C. Chang,et al.  Kalman filter algorithms for a multi-sensor system , 1976, 1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes.