Major Existing Classification Matrices and Future Directions for Internet of Things
| Autor: | Raymundo Buenrostro Mariscal, Juan-Ivan Nieto-Hipolito, Juan de Dios Sanchez Lopez, Kedir Mamo Basher, Maria Cosio Leon, Mabel Vazquez-Briseno |
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| Rok vydání: | 2017 |
| Předmět: |
World Wide Web
020203 distributed computing Generalization business.industry Smart objects Computer science 0202 electrical engineering electronic engineering information engineering 020206 networking & telecommunications 02 engineering and technology General Medicine Internet of Things business Data science |
| Zdroj: | Advances in Internet of Things. :112-120 |
| ISSN: | 2161-6825 2161-6817 |
| DOI: | 10.4236/ait.2017.74008 |
| Popis: | Classification method is a formula, logical description generalizing characteristics of objects of related area. Nowadays, billions of smart objects are immersed in the environment, sensing, interacting, and cooperating with each other to enable efficient services. When we think about IoT, classification is a major challenge particularly if our technology is international level applicable. So, this limitation needs clear and deep analysis of the existing classification matrixes and gives some future directions depending on the different researches in the area. The paper surveys the current state-of-art in the classification of IoT. First, we try to explain commonly existing classification matrixes; Second, cooperation of different methods defending on classification matrixes used. Then analyses challenges that IoT faced from classification angle and finally we give some direction for future IoT classification. |
| Databáze: | OpenAIRE |
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