Partial Parameters of Random Network Models for Internet of Things

DOI

10.2991/icimm-16.2016.66How to use a DOI?

Keywords

Scale-free; Dynamic Equation; Cumulative Distribution; Algorithm

Abstract

A logistical network is related with traffic networks, information networks, multiple goods networks in general. In the view of mathematics, a logistics is the compound result of three or more other networks. We design random multiple models by network operations based on stable transport networks, and measure dynamic differential equations, degree distribution, cumulative distribution of the models.

Copyright

© 2016, 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  - Jing Su
AU  - Fei Ma
AU  - Bing Yao
AU  - Hui Sun
AU  - Xiaohui Zhang
AU  - Ming Yao
PY  - 2016/11
DA  - 2016/11
TI  - Partial Parameters of Random Network Models for Internet of Things
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 356
EP  - 363
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.66
DO  - 10.2991/icimm-16.2016.66
ID  - Su2016/11
ER  -