Thisbook systematically presents energy-efficient robust fusion estimation methodsto achieve thorough and comprehensive results in the context of network-basedfusion estimation. It summarizes recent findings on fusion estimation withcommunication constraints; several novel energy-efficient and robust designmethods for dealing with energy constraints and network-induced uncertaintiesare presented, such as delays, packet losses, and asynchronous information...All the results are presented as algorithms, which are convenient for practicalapplications.
Introduction.- Multi-Rate Kalman Fusion Estimation for WSNs.- Kalman Fusion Estimation for WSNs with Non-Uniform Estimation Rates.- H1 Fusion Estimation for WSNs with Non-Uniform Sampling Rates.- Fusion Estimation for WSNs Using Dimension Reduction Method.- H1 Fusion Estimation for WSNs with Quantization.- Hierarchical Asynchronous Fusion Estimation for WSNs.- Fusion Estimation for WSNs with Delayed Measurements.- Fusion Estimation for WSNs with Delays and Packet Losses.
Manas Chatterji, Urs Luterbacher, Valérie Fert, Bo Chen, USA) Chatterji, Manas (Binghamton University, Switzerland) Luterbacher, Urs (Graduate Institute of International and Development Studies, Switzerland) Fert, Valerie (GMAP-Artificial intelligence system Mileva, China) Chen, Bo (Central University of Finance and Economics
Manas Chatterji, Urs Luterbacher, Valérie Fert, Bo Chen, USA) Chatterji, Manas (Binghamton University, Switzerland) Luterbacher, Urs (Graduate Institute of International and Development Studies, Switzerland) Fert, Valerie (GMAP-Artificial intelligence system Mileva, China) Chen, Bo (Central University of Finance and Economics