Optimal Event-Based Policy for Remote Parameter Estimation in Wireless Sensing Architectures Under Resource Constraints

Hydrologic modeling is usually applied to two scenarios: continuous and event-based modeling, between which hydrologists often neglect the significant differences in model application. In this study, a comparison-based procedure concerning parameter estimation and uncertainty analysis is presented based on the Hydrological Simulation Program–Fortran (HSPF) model. Calibrated parameters related to base flow and moisture distribution showed marked differences between the continuous and event-based modeling. Results of the regionalized sensitivity analysis identified event-dependent parameters and showed that gravity drainage and storage outflow were the primary runoff generation processes for both scenarios. The overall performance of the event-based simulation was better than that of the daily simulation for streamflow based on the generalized likelihood uncertainty estimation (GLUE). The GLUE analysis also indicated that the performance of the continuous model was limited by several extreme events and low flows. In the event-based scenario, the HSPF model performances decreased as the precipitation became intense in the event-based modeling. The structure error of the HSFP model was recognized at the initial phase of the rainfall-event period. This study presents a valuable opportunity to understand dominant controls in different hydrologic scenario and guide the application of the HSPF model.

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Enhanced Continuous-Time Unit-Specific Event-Based Formulation for Short-Term Scheduling of Multipurpose Batch Processes: Resource Constraints and Mixed Storage Policies.

Industrial & Engineering Chemistry Research ◽

10.1021/ie048866r ◽

2005 ◽

Vol 44 (2) ◽

pp. 426-426 ◽

Cited By ~ 15

Author(s):

Stacy L. Janak ◽

Xiaoxia Lin ◽

Christodoulos A. Floudas

Keyword(s):

Continuous Time ◽

Resource Constraints ◽

Batch Processes ◽

Short Term ◽

Specific Event ◽

Event Based

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Distributed inference in wireless sensor networks

Philosophical Transactions of The Royal Society A Mathematical Physical and Engineering Sciences ◽

10.1098/rsta.2011.0194 ◽

2012 ◽

Vol 370 (1958) ◽

pp. 100-117 ◽

Cited By ~ 64

Author(s):

Venugopal V. Veeravalli ◽

Pramod K. Varshney

Keyword(s):

Communication Network ◽

Wireless Sensor Networks ◽

Parameter Estimation ◽

Sensor Networks ◽

Statistical Inference ◽

Resource Constraints ◽

Research Area ◽

Wireless Sensor ◽

Distributed Inference ◽

Inference Problems

Statistical inference is a mature research area, but distributed inference problems that arise in the context of modern wireless sensor networks (WSNs) have new and unique features that have revitalized research in this area in recent years. The goal of this paper is to introduce the readers to these novel features and to summarize recent research developments in this area. In particular, results on distributed detection, parameter estimation and tracking in WSNs will be discussed, with a special emphasis on solutions to these inference problems that take into account the communication network connecting the sensors and the resource constraints at the sensors.

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Enhanced Continuous-Time Unit-Specific Event-Based Formulation for Short-Term Scheduling of Multipurpose Batch Processes: Resource Constraints and Mixed Storage Policies

Industrial & Engineering Chemistry Research ◽

10.1021/ie0341597 ◽

2004 ◽

Vol 43 (10) ◽

pp. 2516-2533 ◽

Cited By ~ 101

Author(s):

Stacy L. Janak ◽

Xiaoxia Lin ◽

Christodoulos A. Floudas

Keyword(s):

Continuous Time ◽

Resource Constraints ◽

Batch Processes ◽

Short Term ◽

Specific Event ◽

Event Based

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Event-based Quality-of-Service Parameter Estimation of a Wireless Channel

2020 6th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP) ◽

10.1109/ebccsp51266.2020.9291361 ◽

2020 ◽

Author(s):

Michael Schwung ◽

Yasemin Karacora ◽

Jan Lunze ◽

Aydin Sezgin

Keyword(s):

Quality Of Service ◽

Parameter Estimation ◽

Wireless Channel ◽

Service Parameter ◽

Event Based

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Comments on “New General Continuous-Time State−Task Network Formulation for Short-Term Scheduling of Multipurpose Batch Plants” by Christos T. Maravelias and Ignacio E. Grossmann and on “Enhanced Continuous-Time Unit-Specific Event-Based Formulation for Short-Term Scheduling of Multipurpose Batch Processes: Resource Constraints and Mixed Storage Policies” by Stacy L. Janak, Xiaoxia Lin, and Christodoulos A. Floudas

Industrial & Engineering Chemistry Research ◽

10.1021/ie050135j ◽

2005 ◽

Vol 44 (6) ◽

pp. 1985-1986 ◽

Cited By ~ 1

Author(s):

Christodoulos A. Floudas ◽

Stacy L. Janak

Keyword(s):

Continuous Time ◽

Resource Constraints ◽

Batch Processes ◽

Short Term ◽

Batch Plants ◽

Specific Event ◽

Event Based

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Event Based Approaches for Solving Multi-mode Resource Constraints Project Scheduling Problem

Computer Information Systems and Industrial Management - Lecture Notes in Computer Science ◽

10.1007/978-3-662-45237-0_35 ◽

2014 ◽

pp. 375-386 ◽

Cited By ~ 8

Author(s):

Ripon Kumar Chakrabortty ◽

Ruhul Amin Sarker ◽

Daryl L. Essam

Keyword(s):

Project Scheduling ◽

Resource Constraints ◽

Scheduling Problem ◽

Project Scheduling Problem ◽

Event Based ◽

Multi Mode

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Joint application of event-based calibration and dynamic identifiability analysis in rainfall–runoff modelling: implications for model parametrisation

Journal of Hydroinformatics ◽

10.2166/hydro.2008.055 ◽

2008 ◽

Vol 10 (4) ◽

pp. 301-316 ◽

Cited By ~ 10

Author(s):

Johannes Cullmann ◽

Gunter Wriedt

Keyword(s):

Parameter Estimation ◽

A Priori ◽

Precipitation Forecast ◽

Model Parameters ◽

Optimal Model ◽

Identifiability Analysis ◽

Joint Application ◽

Characteristic Features ◽

Best Parameter ◽

Event Based

The goal of this work is to comparatively evaluate the potential of both event-based automatic calibration and Dynamic Identifiability Analysis (DYNIA) as proposed by Wagener et al. This is combined with an investigation on a potential relation of a priori knowledge on event characteristics with optimal model parameters. A joint application of DYNIA and automatic parameter estimation leads to implications considering the informational content of both methods. Optimal model parameters, identified on an event basis, are tested for statistical relations with physical characteristics of the rainstorm events (e.g. intensity). In this paper, we present results of a modelling study in the Rietholzbach catchment (Switzerland). We employed the hydrological model WaSiM-ETH, using a combined DYNIA (Dynamic Identifiability Analysis) and automatic parameter estimation (PEST) approach to investigate best parameter sets as well as parameter variability along the time series of the hydrograph. The results of the study indicate that the “drainage” parameter identifiability for the long-term simulation is linked to the event-based calibrated parameter for the flood events. However, the parameter sets obtained with single-event calibration could not be fully linked to the chosen characteristic features derived from the precipitation forecast.

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