NDLI: Indoor monitoring system employing facebook platform for WSN

Content Provider	IEEE Xplore Digital Library
Author	YoungJin Choi Sang Cheol Kim Hui Ung Park Seon-Tae Kim Pyeongsoo Mah
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Software & Eng., Univ. of Sci. & Technol. (UST), Daejeon, South Korea (YoungJin Choi; Hui Ung Park) \|\| Electron. & Telecommun. Res. Inst. (ETRI), Daejeon, South Korea (Sang Cheol Kim; Seon-Tae Kim; Pyeongsoo Mah)
Abstract	Currently, developers of sensor network monitoring systems have to use various web languages including HTML, JavaScript and Ajax, and have to set up web servers using Apache, PHP, and MySQL. In addition, the implementation of security and authorization may need to be considered in many cases. Thus, the implementation and management of sensor network system are quite a burden to the developers. In this paper, we propose a new approach that uses Facebook as a platform for sensor network monitoring systems. In order to use Facebook as a platform for our sensor network monitoring system, a PC side application that connects Facebook and WSN is needed. The PC side application, which is built with Facebook C# SDK, is capable of automatically posting the sensory data of WSN on Facebook. By applying our proposed method, the difficulties in using web languages or setting up servers can be reduced. As a case study, an indoor monitoring system based on our proposal has been developed. From our experiment, we found out that our approach provides easiness, cost-effectiveness and flexibility when constructing WSN rapidly.
Starting Page	1037
Ending Page	1041
File Size	2559194
Page Count	5
File Format	PDF
ISBN	9781467331487
ISSN	17389445
e-ISBN	9788996865018
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	GIRI
Subject Keyword	Monitoring Wireless sensor networks Servers Artificial neural networks Webcams Feeds Authorization Facebook Wireless Sensor Network Web of Things Social Network Service
Content Type	Text
Resource Type	Article

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