With the development of mobile Internet technology and the popularity of intelligent mobile terminals, the data traffic load of mobile client users on the smart campus network platform has surged. How to reduce the data traffic of the smart campus network platform is an urgent problem to be solved. First, this paper discussed the key technologies of smart campus network teaching platform under the background of the 5G network, expounded the critical technologies of the transport layer of the Internet of Things (IoT) technology, and analyzed from the development perspective of the IoT platform. Second, by investigating the online classroom data of five types of colleges and universities in China and comparing the advantages and disadvantages of online classroom teaching and traditional classroom teaching, it is found that the number of online courses in colleges and universities has exploded in the second half of 2017. Next, this paper analyzed the demand of smart campus online teaching platform under the background of the 5G network, thus established an online teaching platform based on the four initiatives operation model (government-led, college sponsor, teacher subject, and academic director). Finally, this paper adopted the improved VIRE localization algorithm to obtain the specific location information of the student users in the classroom and, then, compared with the error obtained by the VIRE algorithm, and the error of the improved VIRE algorithm is smaller. In the process of obtaining information, the 5G network technology is used for data transmission, which can shorten the check-in time and can improve the positioning accuracy. INDEX TERMS 5G network, smart campus, online teaching platform, improved VIRE location algorithm.

The IP multicast delivery mechanism provides a popular basis for delivery of continuous media to many participants in a conferencing application. However, the best-effort nature of multicast delivery results in poor playback quality in the presence of network congestion and packet loss. Contrary to widespread belief that the real-time nature of continuous media applications precludes the possibility of recovery of lost packets using retransmissions, we have found that these applications offer an interesting tradeoff between the desired playback quality and the desired degree of int eractivi ty.In particular, we propose a new model of multicast delivery called resilient multicast in which each receiver in a multicast group can decide its own tradeoff between reliability and real-time requirements. To be effective, error recovery mechanisms in such a model need to be both fast (due to the real-time constraint) and have a low overhead (due to high volume of continuous media data).We have designed a resilient multicast protocol called STORM (STructure-Oriented Resilient Multicast) in which senders and receivers collaborate to recover from lost packets using two key ideas. First, group participants self-organize themselves into a distribution structure and use the structure to recover lost packets from adjacent nodes. Second, the distribution structure is dynamic and a lightweight algorithm is used to adapt the structure to changing network traffic conditions and group membership. We have implemented STORM in both VAT and a packet level simulator. Experimental results using both the MBONE and a simulation model demonstrate the effectiveness of our approach.

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Location-based services (LBS) provide content that is dynamically customized according to the user's location. These services are commonly delivered to mobile devices. Due to wireless bandwidth limit, broadcasting based transmission technology is one of main methods to provide dynamic real-time information or public emergency for commercial LBS applications. Multimedia Broadcast and Multicast Services (MBMS) is a broadcasting service offered via existing GSM and UMTS cellular networks. MBMS has the major benefit that the network infrastructure already exists for mobile network operators and the deployment can be cost effective compared with building a new network for the services. However, Location-based services historically were built as stand-alone applications that did not communicate easily with other applications and systems. Therefore, open standards will be a necessary catalyst for LBS growth. This paper proposes a novel LBS application framework based on the TPEG protocol (transport protocol experts group) over MBMS and explains the implement of that using the stream delivery method and download delivery method. For download service, Results of performance tests for FLUTE protocol (File Delivery under unidirectional Transport) and FEC (Forward error correction) are also presented

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