Different Techniques of Data Fusion in Internet of Things (IoT)

Pp: 24-44 (21)

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Abstract

An IoT (Internet of Things) technology is a dynamic area of research, which has been growing at a remarkable rate for the last few years. The IoT is a mammoth network of associated things and people, which accumulates and shares data about how they are used and the environment around them. It is the discernment of connecting any device to the internet and other associated devices. When something is associated with the internet, it can propel or receive information, or both. This ability to propel and/or receive information makes things smart. IoT permits businesses and people to get more insights from the world around them and do more evocative higher-level work. Data fusion techniques are used to extract eloquent information from dissimilar IoT data. It ferocities dissimilar data from sensor sources to mutually find a consequence, which is more dependable, precise, and comprehensive. This chapter briefly designates the IoT by the characteristics of data procurement and data fusion.

Keywords: Bayes rule, Data Fusion, IoT, Markov model, Multi-sensor, Real-time data processing

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