Application and Research for IOT Based on REST Style

Article Preview

Abstract:

The development of sensor networks ,embedded systems and network technique has promoted the blossom of the Internet of things (IOT).However ,most of existing IOT systems are Web Services based and independent development ,which is of high coupling .Besides ,it is quite complex to add new applications to the system. This paper proposes an application of IOT development pattern ,which is based on REST style. It considers the sensor node and data generating process as resource ,and allows isomerous system modules build new application in the way of REST framework. At the same time, we designs the prototype of IOT service platform system and provides the specific implementation technique and system verification.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

5910-5913

Citation:

Online since:

May 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] CHEN Hao, LI Shi-ning Exploration of Application Development Model for IOT Based on RESTful 1006-2475( 2013) 02-0056-05.

Google Scholar

[2] CHENG Dongmei WANG Ruicong Research and Development of IOT Service Platform Based on REST-Style Architecture 1002-8331(2012)14-0074-05.

Google Scholar

[3] Jan Robert Nopper, Michael Ten Hompel. Analysis of therelationship between available information and performancein facility logistics [J] . Logistics Research, 2009, 1( 3-4) : 173-183.

DOI: 10.1007/s12159-009-0019-4

Google Scholar

[4] Luciana Moreira Sa De Souza, Patrik Spiess, DominiqueGuinard, et al. SOCRADES: A Web service based shopfloor integration infrastructure [C] Proceedings of the 1st International Conference on The IOT. 2008: 50-67.

Google Scholar

[5] Richardson L, Ruby S. RESTful web services[M]. [S. l. ]:O'Reilly Media, (2007).

Google Scholar

[6] Kansal A, al. Senseweb:an infrastructure for shared sensing[J]. IEEE Multimedia, 2007, 14(4):8-13.

Google Scholar

[7] . Chang J H, Lee W S. Finding frequent itemsets over on-line data streams[J]. Information and Software Technolo-gy, 2006, 48:606-618.

DOI: 10.1016/j.infsof.2005.06.004

Google Scholar

[8] . Barbosa L, Freire J. Combining classifiers to identify on-line databases[C]/Proc of the 16th International Confer-ence on World Wide Web, (2007).

DOI: 10.1145/1242572.1242631

Google Scholar

[9] . Fung B C M, Wang Ke, Ester M. Hierarchical document clustering using frequent itemsets[C]/Proceedings of SDM, (2003).

Google Scholar