Big Sensory Data Transmission Architecture for Cold Chain Logistics

DOI

10.2991/icaita-18.2018.34How to use a DOI?

Keywords

wireless sensor networks; big data; cold; chai; transmission algorithms; correlation

Abstract

Cold chain logistics demands a high temperature standard during transportation. In order to ensure temperature requirement, a wireless sensor network used for cool box temperature monitoring and GPS location in cold chain logistics is presented in this paper. Wireless sensor module collects sensory data, then it is uploaded to server so as to provide real time monitoring. Because the scale of the sensory data in cold chain logistics has already exceeds several petabytes with the growth in business, this paper also presents a theoretical framework which is developed to model the link correlations in cold chain logistics sensory data. The proposed architecture can effectively reduce the number of data transmission and reduce the consumption of energy. This technology is of great practical significance for sensor nodes powered by batteries. Finally, the extensive real experiment results indicate that the proposed mechanisms obtain high performance in terms of energy consumption and accuracy.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chao Meng
AU  - Long Jin
AU  - Zhixin Sun
PY  - 2018/03
DA  - 2018/03
TI  - Big Sensory Data Transmission Architecture for Cold Chain Logistics
BT  - Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
PB  - Atlantis Press
SP  - 132
EP  - 136
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-18.2018.34
DO  - 10.2991/icaita-18.2018.34
ID  - Meng2018/03
ER  -