Big Data Research on the Green Internet of Things in New Smart-Logistics
Tetouani Samir1, Chouar Abdelsamad2, Soulhi Aziz3, Elalami Jamila4
1Tetouani Samir, Mohammed V University in Rabat, LASTIMI CELOG-ESITH, Rabat, Morocco.
2Chouar Abdelsamad, Mohammed V University in Rabat LASTIMI CELOG-ESITH, Rabat, Morocco.
3Soulhi Aziz, Mohammed V University in Rabat, LASTIMI ENSMR, Rabat, Morocco.
4Jamila, Mohammed V University in Rabat, LASTIMI CELOG-ESITH, Rabat, Morocco.
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 31 August 2019 | PP: 534-537 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I11120789S219/19©BEIESP DOI: 10.35940/ijitee.I1112.0789S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Analysis Technologies, Information and Communication, Smart-Logistics
Scope of the Article: Information and Data Security