A SIP/IMS Platform for Internet of Things in WLAN-3GPP Integration Networks
With the growth of internet access technologies, sensors/machines performing environment sensing and control can connect to Internet anytime and anywhere. However, there is no framework for users to integrate the sensors/machines and the server. The IP Multimedia Subsystem (IMS) based on Session Initiation Protocol (SIP) and all-IP architecture has been proposed as a common platform for Next Generation Network (NGN). This paper proposes a SIP/IMS platform for Internet of Things (IoT) in WLAN-3GPP integrated networks. This IMS platform includes Instant Message and Presence Service (IMPS) application servers (ASs). The Call Session Control Functions (CSCFs) perform the session setup and termination for a long-term communications. The IMPS ASs handles message exchange for short-term communications. Finally, this paper analyzes the efficiency of difference query/report methods and gives a conclusion.
KeywordsCall Session Control Functions (CSCFs) Internet of Things (IoT) Instant Message (IM) IP Multimedia Subsystem (IMS) Session Initiation Protocol (SIP) Presence Service (PS)
Unable to display preview. Download preview PDF.
- 1.Commission of the European Communities, Internet of Things — An Action Plan for Europe, (June 2009)Google Scholar
- 3.Quan, W., Wu, J., Zhan, X., Huang, X., Ma, Y.: Research of presence service testbed on cloud-computing environment. In: 2010 3rd IEEE International Conference on Broadband Network and Multimedia Technology (IC-BNMT), October 26-28, pp. 865–869 (2010)Google Scholar
- 4.3GPP TS 23.228 v12.3.0, IP Multimedia Subsystem (IMS); Stage 2 (Release 12), (December 2013)Google Scholar
- 5.3GPP TR 23.888 v11.0.0, System Improvements for Machine-Type Communications, Release 11 (September 2012)Google Scholar
- 6.Rosenberg, J.: SIMPLE Made Simple: An Overview of the IETF Specifications for Instant Messaging and Presence Using the Session Initiation Protocol (SIP). IETF. RFC 6914 (April 2013) (retrieved September 24, 2013)Google Scholar
- 7.Ross, S.M.: Introduction to Probability Models. Academic, New York (1985)Google Scholar