IoT-Fog based Smart-Building Security System Design and Performance Evaluation

Abstract

This paper aims to develop a smart building-security system utilizing fog technology. Fog computing is an innovative solution to reduce latency and network congestion, in which the cloud is extended to the edge of the network. The proposed system can detect an intruder, fire and water leakage. It is implemented using Raspberry Pi, Arduino, Pi-camera and different sensors. The sensors are installed on Arduino and Pi-camera is mounted on Raspberry Pi. The Raspberry Pi is used as a fog node to fit the time-sensitive nature of the system. The performance was evaluated through the iFogSim toolkit. Fog reduces 33.26 and 46.8% average latency and sensor delay as compared to the cloud. Also, the value of the network usage decreases by 71% in the case of fog-based even with increased network load. Finally, the iFogSim was evaluated by measuring the simulation time, which gave acceptable results of about 8.5 sec.

Forest Fire Monitoring System Supported by Unmanned Aerial Vehicles and Edge Computing: A Performance Evaluation Using Petri Nets

“…It optimizes the selection of Cluster Heads using the TSA algorithm and implements sleep scheduling to save energy. Medhat et al [23] propose creating an intelligent security system for buildings using The changes also made it possible to conduct a sensitivity analysis with the DoE and verify how the system behaves with changes in the amount of resources of some system components. The analysis allows the system designer to observe how certain components affect the system's MRT metric.…”