Open AccessBig Data Research on the Green Internet of Things in New Smart-Logistics
Author(s) -
Tetouani Samir,
Chouar Abdelsamad,
Aziz Soulhi,
Jamila Elalami
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i1112.0789s219
Subject(s) - big data , internet of things , information and communications technology , the internet , data science , computer science , supply chain , work (physics) , homogeneous , smart city , business , telecommunications , computer security , world wide web , engineering , marketing , data mining , mechanical engineering , physics , thermodynamics
Recent advances in information and communication technologies (ICT) have contributed to the evolution of the supply chain and logistics sector. Indeed, the analysis of massive data (Big Data) coming from smart-products makes it possible to extract enormous values for the decision-making of strategic choice: commercial or technical. But this also causes research problems because of the speed of data transmission, the huge volume, and the non-homogeneous types of data. This work provides an overview of the analysis of Big-Data (BD) from the Green Internet of Things (Green-IoT) in new Smart-Logistics. This article begins with a discussion of the needs and challenges of the Green Internet of Things (Green-IoT) and Big Data (BD) analysis in logistics. Then, major data analysis technologies are examined and discussed. In addition, this article also describes future directions in this promising area.