Major Existing Classification Matrices and Future Directions for Internet of Things

• 作者: Juan de Dios Sánchez López Juan-Ivan Nieto-Hipolito Kedir Mamo Basher Mabel Vazquez-Briseno Maria De Los Angeles Cosio Leon Raymundo Buenrostro Mariscal
• 来源期刊: 物联网(英文)
• 学科: 医学
• 关键词: Internet of THINGS CLASSIFICATION of IOT IOT Overview Future of IOT Smart OBJECTS
• 年，卷（期）: 2017,（4）
• 页码范围: 112-120
• 页数: 9页
• 分类号: R73

摘要

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.