A. Ilayaraja ¹, Veeramuthu Venkatesh ²

Affiliations
1 School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN
2 School of Computing, SASTRA University, Thanjavur, Tamilnadu, IN

Abstract

Objectives: Home automation is gaining more and more importance in the act of luxurious and secure life. Methods: We propose a system which is user friendly and also increases the level of security with the fusion of inbuilt sensor modules available in any smart phone and the blend of the Bluetooth communication and Internet of Things (IoT) to boost up the security. Findings: The system is designed by means of LPC2148 microcontroller with ARM7TDMI core and Android based smart phone which is used to control all the home appliances like AC, fan, light etc. All the sensors used for environmental monitoring like temperature, humidity, light intensity etc are tapped using the smart phone so as to produce a cost effective system. Applications: The system provides the controlling of the home appliances using Bluetooth communication with smart phone to the controlling unit. The system also provides a self adjusting lighting system with the fusion method and also includes a client server concept for the security issues using IoT for live streaming of H.264 video and G.726 audio to monitor the home environment remotely. The system result shows that the fusion method used gives more comfortable and secured system in addition to cost effectiveness and energy efficient.

Keywords

Android, Bluetooth, Home Automation, Home Appliances, LPC2148, Security, Sensors.

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S. Imran ¹, Veeramuthu Venkatesh ¹

Affiliations
1 School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN

Abstract

Background/Objectives: Owing to an enormous technological advancement, much research has been done in the communication field related to the Internet Of Things (IOT). Wireless Sensor Network devices (WSN) are the independent devices which can be used to monitor the physical and the environmental conditions for a wide array of applications across different fields. With advancement in technology and increase in population, Air pollution is the most important environmental problem which affects the human lives. Methods: LSM (Least Square method) is used to process the sensor data in order to get the accuracy. The sensors like CO₂, CO are used to detect the air pollution levels. For monitoring the air pollution constantly, the WSN nodes with Zigbee communication have been deployed. Xbees are used to transmit and receive the data from one node to another. Arduino Mega will be acting as a web server in-order to store the data into the cloud or server and will be used to connect the IP-enabled device to monitor the pollution. The values detected by the sensors will be accessed or monitored through the IP enabled Android device with an ‘Android App’. Findings: The Air pollution monitoring systems currently available now are very costly. Hence, an indoor air quality monitoring system is proposed using an Arduino and Zigbee modules, and gas sensors, which is very cost-effective. The possibility of the real-time monitoring and tracking levels of the pollutants in different time periods is also done. Improvements/Applications: This method reduces the process and observation noises and also increases the data accuracy.

Keywords

Air Pollution, Internet Of Things, Least Square Based Method, Wireless Sensor Networks.

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