Semantic framework of event detection in emergency situations for smart buildings
Multimedia Sensor Networks (MSNs) have enhanced the ability to analyze the environment and provide responses based on its current status. Generally, MSNs are composed of scalar and multimedia sensors that have fixed locations. However, given the advancement of smart mobile device technologies, it is...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2022-02-01
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| Series: | Digital Communications and Networks |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235286482100033X |
| _version_ | 1819279348222394368 |
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| author | Yudith Cardinale Gabriel Freites Edgar Valderrama Ana Aguilera Chinnapong Angsuchotmetee |
| author_facet | Yudith Cardinale Gabriel Freites Edgar Valderrama Ana Aguilera Chinnapong Angsuchotmetee |
| author_sort | Yudith Cardinale |
| collection | DOAJ |
| description | Multimedia Sensor Networks (MSNs) have enhanced the ability to analyze the environment and provide responses based on its current status. Generally, MSNs are composed of scalar and multimedia sensors that have fixed locations. However, given the advancement of smart mobile device technologies, it is currently possible to dynamically integrate mobile sensors into MSNs. In this paper, we propose a formal platform to manage MSNs and the data gathered from them to detect complex events. Our main contributions include: M2SSN − Onto, a Mobile and Multimedia Semantic Sensor Networks Ontology; Py-CEMiD, an engine for detecting complex events and generate reactions to them; a mobile device location engine to locate mobile sensors; and a proof-of-concept in the context of detecting emergency situations in smart buildings. Several scenarios are validated for emergency events, combining simulated sensor measurements with real measurements of mobile devices. Results show complex events can be detected in near real time (less than 1 s). |
| first_indexed | 2024-12-24T00:26:28Z |
| format | Article |
| id | doaj.art-bc0a37ee13cd4158a7f6419ef9a4616a |
| institution | Directory Open Access Journal |
| issn | 2352-8648 |
| language | English |
| last_indexed | 2024-12-24T00:26:28Z |
| publishDate | 2022-02-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Digital Communications and Networks |
| spelling | doaj.art-bc0a37ee13cd4158a7f6419ef9a4616a2022-12-21T17:24:25ZengKeAi Communications Co., Ltd.Digital Communications and Networks2352-86482022-02-01816479Semantic framework of event detection in emergency situations for smart buildingsYudith Cardinale0Gabriel Freites1Edgar Valderrama2Ana Aguilera3Chinnapong Angsuchotmetee4Departamento de Computación, Universidad Simón Bolívar, Caracas, VenezuelaDepartamento de Computación, Universidad Simón Bolívar, Caracas, VenezuelaDepartamento de Computación, Universidad Simón Bolívar, Caracas, VenezuelaEscuela de Ingeniería Informática, Universidad de Valparaíso, Valparaíso, Chile; Corresponding author.Faculty of Science Prince of Songkla University, ThailandMultimedia Sensor Networks (MSNs) have enhanced the ability to analyze the environment and provide responses based on its current status. Generally, MSNs are composed of scalar and multimedia sensors that have fixed locations. However, given the advancement of smart mobile device technologies, it is currently possible to dynamically integrate mobile sensors into MSNs. In this paper, we propose a formal platform to manage MSNs and the data gathered from them to detect complex events. Our main contributions include: M2SSN − Onto, a Mobile and Multimedia Semantic Sensor Networks Ontology; Py-CEMiD, an engine for detecting complex events and generate reactions to them; a mobile device location engine to locate mobile sensors; and a proof-of-concept in the context of detecting emergency situations in smart buildings. Several scenarios are validated for emergency events, combining simulated sensor measurements with real measurements of mobile devices. Results show complex events can be detected in near real time (less than 1 s).http://www.sciencedirect.com/science/article/pii/S235286482100033XMultimedia sensor networkSemantic webEvent processingOntologyGeolocalisation |
| spellingShingle | Yudith Cardinale Gabriel Freites Edgar Valderrama Ana Aguilera Chinnapong Angsuchotmetee Semantic framework of event detection in emergency situations for smart buildings Digital Communications and Networks Multimedia sensor network Semantic web Event processing Ontology Geolocalisation |
| title | Semantic framework of event detection in emergency situations for smart buildings |
| title_full | Semantic framework of event detection in emergency situations for smart buildings |
| title_fullStr | Semantic framework of event detection in emergency situations for smart buildings |
| title_full_unstemmed | Semantic framework of event detection in emergency situations for smart buildings |
| title_short | Semantic framework of event detection in emergency situations for smart buildings |
| title_sort | semantic framework of event detection in emergency situations for smart buildings |
| topic | Multimedia sensor network Semantic web Event processing Ontology Geolocalisation |
| url | http://www.sciencedirect.com/science/article/pii/S235286482100033X |
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