Towards the implementation of iot for environmental condition monitoring in homes
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The document proposes an Internet of Things system using low-cost sensors to monitor domestic environmental conditions like temperature and humidity. It describes the integrated network architecture that connects smart sensors to measure parameters and transmit the data via the internet. The system uses machine learning to provide self-control of the monitoring devices and was found to reliably transmit sensor information 97% of the time based on prototype testing.
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Towards the implementation of iot for environmental condition monitoring in homes
- 1. TOWARDS THE IMPLEMENTATION OF IOT FOR ENVIRONMENTAL CONDITION MONITORING IN HOMES ABSTRACT: In this paper, we have reported an effective implementation for Internet of Things used for monitoring regular domestic conditions by means of low cost ubiquitous sensing system. The description about the integrated network architecture and the interconnecting mechanisms for reliable measurement of parameters by smart sensors and transmission of data via internet is being presented. The longitudinal learning system was able to provide self-control mechanism for better operations of the devices in monitoring stage. The framework of the monitoring system is based on combination of pervasive distributed sensing units, information system for data aggregation, 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