Modelling threshold exceedence levels for spatial stochastic processes observed by sensor networks

Gareth Peters, Ido Nevat, Shaowei Lin, Tomoko Matsui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We develop a new framework for explicitly modelling the threshold exceedence levels of the spatial stochastic process being monitored by a sensor network. Our framework also allows incorporating additional observed features as explanatory factors for the behaviour of the spatial stochastic process, and in particular the probability of exceedence of a user defined threshold level in any given region of space. Such a model has many practical applications for accurate decision making under uncertainty when the monitored process exceeds user specified critical thresholds.
Original languageEnglish
Title of host publication2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
PublisherIEEE
Pages1-7
Number of pages7
ISBN (Electronic)9781479928439
DOIs
Publication statusPublished - 9 Jun 2014
Event2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing - Singapore, Singapore
Duration: 21 Apr 201424 Apr 2014

Conference

Conference2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
CountrySingapore
CitySingapore
Period21/04/1424/04/14

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