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Journal of Computer Networks and Communications
Volume 2017 (2017), Article ID 8595404, 13 pages
Research Article

IoT in Action: Design and Implementation of a Building Evacuation Service

Department of Electronics and Communication Engineering, Istanbul Technical University, Istanbul, Turkey

Correspondence should be addressed to Selahattin Gokceli; rt.ude.uti@sileckog

Received 9 September 2016; Revised 29 November 2016; Accepted 12 December 2016; Published 22 January 2017

Academic Editor: Sabrina Gaito

Copyright © 2017 Selahattin Gokceli et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


With the development of sensor technologies, various application areas have emerged. The usage of these technologies and exploitation of recent improvements have clear benefits on building applications. Such use-cases can improve smart functions of buildings and can increase the end-user comfort. As a similar notion, building automation systems (BAS) are smart systems that target to provide automated management of various control services and to improve resource usage efficiency. However, buildings generally contain hardware and control services from a diverse set of characteristics. The automated and central management of such functions can be challenging. In order to overcome such issues, an Emergency Evacuation Service is proposed for BAS, where requirements of such central management model are analyzed and model content and subservice definitions are prepared. A crucial scenario, which could be a necessity for future BAS, is defined and an approach for evacuation of people in the buildings at emergency situations is proposed. For real-life scenarios, the Evacuation Service is implemented by using a low-cost design, which is appropriate for Internet of Things (IoT) based BAS applications. As demonstrated, the proposed service model can provide effective performance in real-life deployments.