aditya varma | Marri Laxman Reddy Institute Of Technology And Management (original) (raw)

Address: Hyderabad, Telangana, India

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Research paper thumbnail of Towards the Implementation of IoT for Environmental Condition Monitoring in Homes

In this paper, we have reported an effective implementation of monitoring regular domestic condit... more In this paper, we have reported an effective implementation of monitoring regular domestic conditions by means of low cost ubiquitous sensing system. The description about the integrated network architecture and the interconnecting mechanisms for the reliable measurement of parameters by smart sensors and transmission of data via zigbee is being presented. The longitudinal learning system was able to provide a self-control mechanism for better operation of the devices in monitoring stage. The framework of the monitoring system is based on a combination of pervasive distributed sensing units, information system for data aggregation, and reasoning and context awareness. Results are encouraging as the reliability of sensing information transmission through the proposed integrated network architecture is 97%. The prototype was tested to generate real-time graphical information rather than a test bed scenario. In this project the microcontroller interfaces with humidity sensor, temperature sensor, LDR sensor and zigbee module. The microcontrollers take data from these sensors and send it receiver part through zigbee wireless communication. Using that data the controller control the home appliances. In receiver side the data can be monitor through PC.

Research paper thumbnail of Towards the Implementation of IoT for Environmental Condition Monitoring in Homes

In this paper, we have reported an effective implementation of monitoring regular domestic condit... more In this paper, we have reported an effective implementation of monitoring regular domestic conditions by means of low cost ubiquitous sensing system. The description about the integrated network architecture and the interconnecting mechanisms for the reliable measurement of parameters by smart sensors and transmission of data via zigbee is being presented. The longitudinal learning system was able to provide a self-control mechanism for better operation of the devices in monitoring stage. The framework of the monitoring system is based on a combination of pervasive distributed sensing units, information system for data aggregation, and reasoning and context awareness. Results are encouraging as the reliability of sensing information transmission through the proposed integrated network architecture is 97%. The prototype was tested to generate real-time graphical information rather than a test bed scenario. In this project the microcontroller interfaces with humidity sensor, temperature sensor, LDR sensor and zigbee module. The microcontrollers take data from these sensors and send it receiver part through zigbee wireless communication. Using that data the controller control the home appliances. In receiver side the data can be monitor through PC.

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