Abstract
The number of service techniques available for digitized home appliances is rapidly increasing as a result of various advances in digital technology. Users can now easily control and monitor home appliances via sensor networks formed among home appliances in ubiquitous environments. However, home appliances generate such large amounts of metadata about their status every month that in order to provide home appliance monitoring services to users, an approach that is able to store, analyze, and process these large amounts of metadata is needed. We propose a system that uses UPnP to collect metadata from home appliances and cloud computing technology to store and process the metadata collected from ubiquitous sensor network environments. Our proposed system utilizes a home gateway and is designed and implemented using UPnP technology to search for and collect device features and service information. It also provides a function for transmitting the metadata from the home appliances to a cloud-based data server that uses Hadoop-based technology to store and process the metadata collected by a home appliance monitoring service.
Highlights
With the unfolding of the information age, home appliances, including various types of digital devices, became capable of communicating with one another through the Internet
With the ultimate goal of realizing a way to cope with these changes, many researchers have carried out studies focusing on how to process and analyze the huge amounts of data generated by sensors deployed throughout smart homes [1,2,3,4,5]
After establishing a connection between the home gateway and the data server, we sent information about the home appliances to be stored in Hadoop Distributed File System (HDFS) on the data server
Summary
With the unfolding of the information age, home appliances, including various types of digital devices, became capable of communicating with one another through the Internet. Most home gateways use diverse technological elements to collect metadata and perform associated processes for devices deployed in a home network. Cloud computing has become an effective solution for processing massive metadata generated by home appliances connected via home gateways. Our proposed cloud-based home digital devices monitoring and control system consists of two major parts, the home network and a data server. It includes a home gateway and a simulator. As a result, using the Cling library, we designed and implemented a function that enables communication between a UPnP-capable module and an external network in order to collect data from the electronic devices deployed in the home network and send them to the external server.
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