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dc.contributor.advisorSteinsland, Ingelin
dc.contributor.authorMortensen, Markus
dc.date.accessioned2018-09-28T14:00:52Z
dc.date.available2018-09-28T14:00:52Z
dc.date.created2018-07-05
dc.date.issued2018
dc.identifierntnudaim:20145
dc.identifier.urihttp://hdl.handle.net/11250/2565279
dc.description.abstractIn this thesis we consider resource constraint sensor networks that communicates with a fusion center. If communication and/or energy resources are limited, is it desirable to keep the number of transmissions from a sensor low. We suggest a communication scheme based on Temporal dependence and Tolerance limits and that is Trigger based (TTT). The TTT-communication scheme is based on, together with predictions about the process, tolerance limits and an updating scheme known to both a fusion center and a sensor. Through simulation studies we demonstrate that the number of observations a sensor monitoring a temporal process must transmit to a fusion center can be heavily reduced, without sacrificing much knowledge about the process of interest. Further, we use the TTT-communication scheme for making hourly nowcasts of the temperature at 10 locations at Spitsbergen. In this case study we utilize weather forecasts from a physical weather model (numerical weather prediction, NWP) to improve the prediction in the TTT-communication scheme. The transmission rates for the sensors are reduced by 70−80%, while with a guaranteed maximum error of ±1◦C and RMSE below 0.45 for the nowcasted temperature. Furthermore, by utilizing spatial dependence in the process, we extend the TTT- communication scheme to a spatial model for nowcasting, TTTS. Using the TTTS-model reduces the RMSE for the nowcasted temperature further, though with a guaranteed maximum error of ±1◦C. An algorithm for estimating the first and second moment of the truncated multivariate Gaussian variable is also presented.
dc.languageeng
dc.publisherNTNU
dc.subjectFysikk og matematikk, Industriell matematikk
dc.titleTolerance Limit Communication Schemes and Nowcasting for Resource Constrained Sensor Networks - Utilizing NWP, Temporal and Spatial Dependencies for a Temperature Sensor Network at Spitsbergen
dc.typeMaster thesis


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