Data Summarization in the Node by Parameters (DSNP): Local Data Fusion in an IoT Environment.

Luis Maschi,Alexandro Baldassin,Alex Pinto,Rodolfo Meneguette

doi:10.3390/s18030799

Abstract

With the advent of the Internet of Things, billions of objects or devices are inserted into the global computer network, generating and processing data at a volume never imagined before. This paper proposes a way to collect and process local data through a data fusion technology called summarization. The main feature of the proposal is the local data fusion, through parameters provided by the application, ensuring the quality of data collected by the sensor node. In the evaluation, the sensor node was compared when performing the data summary with another that performed a continuous recording of the collected data. Two sets of nodes were created, one with a sensor node that analyzed the luminosity of the room, which in this case obtained a reduction of 97% in the volume of data generated, and another set that analyzed the temperature of the room, obtaining a reduction of 80% in the data volume. Through these tests, it has been proven that the local data fusion at the node can be used to reduce the volume of data generated, consequently decreasing the volume of messages generated by IoT environments.

Highlights

In the last decade we have witnessed a new revolution in the era of information, compared with the emergence of the Internet itself in the 1990s, and compared to the industrial revolution in the nineteenth century [1]
Among the different forms of data fusion, we mention the summarization of data [6], which works by extracting values, such as average, minimum, maximum, and totals of a magnitude read by a sensor or a group of sensors
The purpose of this work is to perform the summarization of the data in the node, but through parameters provided by the server of an Internet of Things (IoT) (IoT Server) application, working in a combined way between sensor node and application server, called here Data Summarization in the

Summary

Introduction

In the last decade we have witnessed a new revolution in the era of information, compared with the emergence of the Internet itself in the 1990s, and compared to the industrial revolution in the nineteenth century [1]. Data fusion is used in many areas, such as robotics, artificial intelligence, image processing, in addition to being widely used in WSNs where it is extremely necessary, seeking to reduce costs and guarantee the information collected and, its use in IoT [16]. The concept involves several processes and techniques that seek the collection, verification, manipulation, combination, elimination, and grouping of data to obtain the necessary information [13,14,15,16,17]. These processes and techniques are used and applied at various moments, from the collection of the information in the node, transmission through various communication protocols, storage and until the moment of availability [18,19]. The concept of data fusion is widely researched in WSN, serving as one of the main points of support for the development of the IoT concept [20]

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Results

Conclusion