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Efficient, Decentralized Detection of Qualitative Spatial Events in a Dynamic Scalar Field
This paper describes an efficient, decentralized algorithm to monitor qualitative spatial events in a dynamic scalar field. The events of interest involve changes to the critical points (i.e., peak, pits and passes) and edges of the surface network derived from the field. Four fundamental types of e...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610514/ https://www.ncbi.nlm.nih.gov/pubmed/26343672 http://dx.doi.org/10.3390/s150921350 |
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author | Jeong, Myeong-Hun Duckham, Matt |
author_facet | Jeong, Myeong-Hun Duckham, Matt |
author_sort | Jeong, Myeong-Hun |
collection | PubMed |
description | This paper describes an efficient, decentralized algorithm to monitor qualitative spatial events in a dynamic scalar field. The events of interest involve changes to the critical points (i.e., peak, pits and passes) and edges of the surface network derived from the field. Four fundamental types of event (appearance, disappearance, movement and switch) are defined. Our algorithm is designed to rely purely on qualitative information about the neighborhoods of nodes in the sensor network and does not require information about nodes’ coordinate positions. Experimental investigations confirm that our algorithm is efficient, with [Formula: see text] overall communication complexity (where n is the number of nodes in the sensor network), an even load balance and low operational latency. The accuracy of event detection is comparable to established centralized algorithms for the identification of critical points of a surface network. Our algorithm is relevant to a broad range of environmental monitoring applications of sensor networks. |
format | Online Article Text |
id | pubmed-4610514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-46105142015-10-26 Efficient, Decentralized Detection of Qualitative Spatial Events in a Dynamic Scalar Field Jeong, Myeong-Hun Duckham, Matt Sensors (Basel) Article This paper describes an efficient, decentralized algorithm to monitor qualitative spatial events in a dynamic scalar field. The events of interest involve changes to the critical points (i.e., peak, pits and passes) and edges of the surface network derived from the field. Four fundamental types of event (appearance, disappearance, movement and switch) are defined. Our algorithm is designed to rely purely on qualitative information about the neighborhoods of nodes in the sensor network and does not require information about nodes’ coordinate positions. Experimental investigations confirm that our algorithm is efficient, with [Formula: see text] overall communication complexity (where n is the number of nodes in the sensor network), an even load balance and low operational latency. The accuracy of event detection is comparable to established centralized algorithms for the identification of critical points of a surface network. Our algorithm is relevant to a broad range of environmental monitoring applications of sensor networks. MDPI 2015-08-28 /pmc/articles/PMC4610514/ /pubmed/26343672 http://dx.doi.org/10.3390/s150921350 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jeong, Myeong-Hun Duckham, Matt Efficient, Decentralized Detection of Qualitative Spatial Events in a Dynamic Scalar Field |
title | Efficient, Decentralized Detection of Qualitative Spatial Events in a Dynamic Scalar Field |
title_full | Efficient, Decentralized Detection of Qualitative Spatial Events in a Dynamic Scalar Field |
title_fullStr | Efficient, Decentralized Detection of Qualitative Spatial Events in a Dynamic Scalar Field |
title_full_unstemmed | Efficient, Decentralized Detection of Qualitative Spatial Events in a Dynamic Scalar Field |
title_short | Efficient, Decentralized Detection of Qualitative Spatial Events in a Dynamic Scalar Field |
title_sort | efficient, decentralized detection of qualitative spatial events in a dynamic scalar field |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610514/ https://www.ncbi.nlm.nih.gov/pubmed/26343672 http://dx.doi.org/10.3390/s150921350 |
work_keys_str_mv | AT jeongmyeonghun efficientdecentralizeddetectionofqualitativespatialeventsinadynamicscalarfield AT duckhammatt efficientdecentralizeddetectionofqualitativespatialeventsinadynamicscalarfield |