TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications

• Type: Article in International Scientific Journal
• Date: 2018

Authors

Costa, DG (Author) Other; Duran Faundez, C (Author) Other; Andrade, DC (Author) Other; Rocha, JB (Author) Other; Peixoto, JPJ (Author) Other

Journal

Title: Sensors

Vol. 18

Final page: 1080

ISSN: 1424-3210

Publisher: MDPI

Indexing

ISI Web of Knowledge - 24 Citations

Scopus - 26 Citations

Other information

Authenticus ID: P-00W-KRQ

DOI: 10.3390/s18041080

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 30