Abstract
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.
Highlights
Smart cities have become a central element when addressing several problems in urban environments, such as mobility, public security, energy efficiency and emergency response [1,2].the growth of population living in urban environments has brought many challenges for the governments, demanding new policies and strategies to improve the urban quality of life
As the TwitterSensing approach is focused on computing priority indexes to be adopted by source nodes, the way Wireless Sensor Networks (WSN) will broadcast priority configuration messages is out of the scope of this article, making the overall solution easier to be adopted by any wireless sensor network technologies
The proposed approach is intended to be used in modern cities as an effective mechanism to support the creation of more efficient wireless sensor networks, which is valuable when multiple concurrent WSN applications will be in execution in urban scenarios
Summary
Smart cities have become a central element when addressing several problems in urban environments, such as mobility, public security, energy efficiency and emergency response [1,2]. Most cities will be concerned with at least traffic conditions, accidents and public security related events, but many more events may be relevant (e.g., protests, festivals, rainfall level) In such way, wireless sensor networks can exploit the event-centric nature of modern cities to optimize their operation and achieve higher performance. The efficient detection and classification of events, as well as the proper assignment of sensing priorities to sensor nodes, may open new possibilities for Smart Cities applications, and this promising scenario fostered the development of this work. The established priorities may be exploited for any kind of optimization, but the definition of the optimization approaches is out of the scope of this work This innovative approach may considerably optimize WSN for higher performance and reduce costs, since event detection will be performed exploiting information already present on Internet and spontaneously produced by inhabitants of the city.
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