Research on Key Technologies for Internet of Things

Guo Liang Shi; Yu Xi Liu

doi:10.4028/www.scientific.net/AMM.190-191.308

Paper Titles

Modelica-Based Simulation of Fuzzy Temperature Control System in Virtual Experiment
p.288

Parameter Identification Research Based on ARX Model
p.292

Research on Completeness in Decomposition and Composition of Petri Nets
p.297

Research on Construction of the Military Geographic Information System Based on Web Services Technology
p.304

Research on Key Technologies for Internet of Things
p.308

Simulation on Electronic Throttle Control System Based on D2P
p.313

Study on the Computer Network of the Yellow River Reservoir Running Information Platform
p.317

The Research on Behavioral Status Judgment Method Based on Skeleton Modeling and Vector Processing
p.321

The Seismic Damage Assessment and Information Service System
p.329

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 190-191Research on Key Technologies for Internet of...

Research on Key Technologies for Internet of Things

Abstract:

For Internet of Things (IOT) widely concerned by people in recent years, this paper analyzed and discussed the key technologies of restricting IOT development, including awareness technology, network communications technology, data aggregation and intelligent technology and cloud computing and so on. These technologies will play important roles in promoting the development and application of IOT, and even human life, industrial development and the advancement of science and technology.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 190-191)

Pages:

308-312

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.190-191.308

Citation:

Cite this paper

Online since:

July 2012

Authors:

Guo Liang Shi, Yu Xi Liu

Keywords:

Cloud Computing, Data Aggregation, Internet of Things (IOT), Sensor Network

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

References

[1] Mukund Deshpande, George Karypis, Selective Markov models for predicting Web-Page accesses [J]. ACM Transactions on Inter-net Technology (TOIT) Volume 4, Issue 2, 2004: 163~184.

DOI: 10.1145/990301.990304

Google Scholar

[2] Wikipedia, Cloudcomputing[EB/OL]. 2010. 4. 8. http: /en. wikipedia. org/wiki/Cloud_computing.

Google Scholar

[3] Kahn JM, Katz RH, Pister KSJ. Next century challenges: mobile networking for smart dust . Proceedings of the 5th Annual Joint ACM/IEEE International Conference on Mobile Computing and Networking (MOBICOM'99). New York, NY: ACM Press, 1999: 271-278.

DOI: 10.1145/313451.313558

Google Scholar

[4] D. Cullar, D. Estrin, M. Strvastava. Overview of sensor network . Computer, 2004, 378, 37(8): 41-49.

Google Scholar

[5] Y. Shang, W. Rumi, Y. Zhang, et al. Localization from connectivity in sensor networks . IEEE Trans. on Parallel and Distributed Systems, 2004, 1511, 15(11) : 961-974.

DOI: 10.1109/tpds.2004.67

Google Scholar

[6] Simon Duquennoy, Gilles Grimaud, Jean-Jacques Vandewalle. Smews: Smart and Mobile Embedded Web Server[C] . International Conference on Complex, Intelligent and Software Intensive Systems. 2009 : 571-576.

DOI: 10.1109/cisis.2009.29

Google Scholar

[7] Yuan CW, Jia XY, Huang T. The security issues of mobile ubiquitous network . China New Telecommunications, 2007, (10): 80-81.

Google Scholar