A review of data management in internet of things
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Abstract
Internet of Things (IoT) has emerged to provide convenience and better lifestyle for users. IoT incorporates many underlying technologies such as man-to-machine and machine-to-machine communication, networking, and sensors. One of the keys in the success of IoT is the data that flows underneath these technologies. This article discusses the challenges and issues in data management in the context of IoT. Different aspects of data in IoT including the sources of data, data gathering, data processing, and the transmission devices are identified and discussed. The challenges brought by the needs to manage vast quantities of heterogeneous data across heterogeneous systems are also discussed in terms of the logical and physical data management and communication network. The data models used in IoT along with the techniques for data control, cleaning, and indexing are discussed based on the characteristics of IoT data. Lastly, a discussion on the benefits and limitations related to data management in IoT is presented along with examples of real-world applications.
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References
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