Smart Firefighting System for Smart Cities Adopting Fog/Edge Computing
P. Punitha Ilayarani1, M. Maria Dominic2

1P. Punitha Ilayarani, Department of Machine Learning, IoT Technologies, and Artificial Intelligence.
2M. Maria Dominic, Sacred Heart College from 1996 Onwards at Various Capacities Like Lecturer, IGNOU Assistant Coordinator, Head of the Department IQAC Member, Member of Board of Studies in Thiruvalluvar University for Computer Science

Manuscript received on 03 August 2019 | Revised Manuscript received on 10 August 2019 | Manuscript published on 30 August 2019 | PP: 3930-3936 | Volume-8 Issue-10, August 2019 | Retrieval Number: J99200881019/19©BEIESP | DOI: 10.35940/ijitee.J9920.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Security ought to be the highest concern for everyone’s sovereignty from prospective destruction caused by unusual incidents or intruders. Constant monitoring mostly refers to protection against hostile forces. Home security confirms smart decision making at the peak time, activated alarms and detectors are to be avail 24/7. Highest inspiration of this proposed system is to notify the emergency incidents to the appropriate authorities like fire station, police station and the residence owner if the owner is not in house. To prove the domino effect support Vector Machines (SVM) algorithms are implemented and tested. In this paper we explore close watch and stay connected devices and also peace of mind through controlling and monitoring our homes by adopting Fog/Edge computing technologies.
Keywords: Fog Computing, Edge Computing, Detectors, Alarms and Control Panels, Support Vector Machines (SVM) Algorithms.

Scope of the Article: Cloud Computing