TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications
Modern cities are subject to periodic or unexpected critical events, which may bring economic losses or even put people in danger. When some monitoring systems based on wireless sensor networks are deployed, sensing and transmission configurations of sensor nodes may be adjusted exploiting the relev...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/4/1080 |
| _version_ | 1798038970761740288 |
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| author | Daniel G. Costa Cristian Duran-Faundez Daniel C. Andrade João B. Rocha-Junior João Paulo Just Peixoto |
| author_facet | Daniel G. Costa Cristian Duran-Faundez Daniel C. Andrade João B. Rocha-Junior João Paulo Just Peixoto |
| author_sort | Daniel G. Costa |
| collection | DOAJ |
| description | Modern cities are subject to periodic or unexpected critical events, which may bring economic losses or even put people in danger. When some monitoring systems based on wireless sensor networks are deployed, sensing and transmission configurations of sensor nodes may be adjusted exploiting the relevance of the considered events, but efficient detection and classification of events of interest may be hard to achieve. In Smart City environments, several people spontaneously post information in social media about some event that is being observed and such information may be mined and processed for detection and classification of critical events. This article proposes an integrated approach to detect and classify events of interest posted in social media, notably in Twitter, and the assignment of sensing priorities to source nodes. By doing so, wireless sensor networks deployed in Smart City scenarios can be optimized for higher efficiency when monitoring areas under the influence of the detected events. |
| first_indexed | 2024-04-11T21:47:29Z |
| format | Article |
| id | doaj.art-24b1ec4962554608bb12bd2de6d7e2e3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T21:47:29Z |
| publishDate | 2018-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-24b1ec4962554608bb12bd2de6d7e2e32022-12-22T04:01:23ZengMDPI AGSensors1424-82202018-04-01184108010.3390/s18041080s18041080TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City ApplicationsDaniel G. Costa0Cristian Duran-Faundez1Daniel C. Andrade2João B. Rocha-Junior3João Paulo Just Peixoto4Department of Technology, State University of Feira de Santana, Feira de Santana 44036-900, BrazilDepartment of Electrical and Electronic Engineering, University of the Bio-Bio, Collao, Region del Bio Bio, Concepcion 1202, ChileDepartment of Technology, State University of Feira de Santana, Feira de Santana 44036-900, BrazilDepartment of Exact Sciences, State University of Feira de Santana, Feira de Santana 44036-900, BrazilDepartment of Exact Sciences, State University of Feira de Santana, Feira de Santana 44036-900, BrazilModern cities are subject to periodic or unexpected critical events, which may bring economic losses or even put people in danger. When some monitoring systems based on wireless sensor networks are deployed, sensing and transmission configurations of sensor nodes may be adjusted exploiting the relevance of the considered events, but efficient detection and classification of events of interest may be hard to achieve. In Smart City environments, several people spontaneously post information in social media about some event that is being observed and such information may be mined and processed for detection and classification of critical events. This article proposes an integrated approach to detect and classify events of interest posted in social media, notably in Twitter, and the assignment of sensing priorities to source nodes. By doing so, wireless sensor networks deployed in Smart City scenarios can be optimized for higher efficiency when monitoring areas under the influence of the detected events.http://www.mdpi.com/1424-8220/18/4/1080Smart Citieswireless sensor networkssocial mediadata miningevent-based optimization |
| spellingShingle | Daniel G. Costa Cristian Duran-Faundez Daniel C. Andrade João B. Rocha-Junior João Paulo Just Peixoto TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications Sensors Smart Cities wireless sensor networks social media data mining event-based optimization |
| title | TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications |
| title_full | TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications |
| title_fullStr | TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications |
| title_full_unstemmed | TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications |
| title_short | TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications |
| title_sort | twittersensing an event based approach for wireless sensor networks optimization exploiting social media in smart city applications |
| topic | Smart Cities wireless sensor networks social media data mining event-based optimization |
| url | http://www.mdpi.com/1424-8220/18/4/1080 |
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