The new transmission protocol for real time rotating omega network

Author(s):  
D. Koscielnik
2008 ◽  
pp. 1634-1642
Author(s):  
Michael Welzl

This chapter will introduce three new IETF transport layer protocols in support of multimedia data transmission and discuss their usage. First, the stream control transmission protocol (SCTP) will be described; this protocol was originally designed for telephony signaling across the Internet, but it is in fact broadly applicable. Second, UDP-Lite (an even simpler UDP) will be explained; this is an example of a small protocol change that opened a large can of worms. The chapter concludes with an overview of the datagram congestion control protocol (DCCP), a newly devised IETF protocol for the transmission of unreliable (typically real-time multimedia) data streams.


2012 ◽  
Vol 58 (1) ◽  
Author(s):  
Farizah Yunus ◽  
N-S. N. Ismail ◽  
S. H. Syed Ariffin ◽  
A. A. Shahidan ◽  
S. K. Syed Yusof ◽  
...  

Recently, reliable data transport in wireless sensor network becomes very crucial for real-time application with different application requirements. Real time multimedia application requires large bandwidth and big memory in the network in order to send video data and needs to arrive at destination in time. Data that arrives at the receiver not in time will be discarded and cannot be played because loss recovery through retransmission of data loss may introduce long delays. Therefore, an implementation of transport protocol in wireless sensor network for multimedia application is a challenging task. Traditional protocol likes TCP and UDP cannot directly applied for real-time communication over wireless sensor network because the lack of functions of real-time services and the unique characteristics of sensor node itself. However there is another transport protocol which is the Stream Control Transmission Protocol (SCTP) that provides multi-stream service for single connection. This feature can be applied for video transmission according to the type of frame to be transmitted. Thus, to achieve the high reliability video data delivery, the advantages of multi-streaming features in SCTP with the combination of low data rate wireless sensor networks will be applied for the new proposed transport protocol. Besides that, transport protocol algorithm also allows maximum network lifetime due to the limited operating lifetime of sensor node and multimedia also is a highly power consuming task. Thus, to prolong the lifetime of wireless sensor network, an efficient transport protocol need to support reliable message delivery and provide congestion control in the most energy efficient. This paper focuses on the existing transport protocols for real-time application and the future protocol that provides the entire requirement of transport protocol.


Author(s):  
Michael Welzl

This chapter will introduce three new IETF transport layer protocols in support of multimedia data transmission and discuss their usage. First, the stream control transmission protocol (SCTP) will be described; this protocol was originally designed for telephony signaling across the Internet, but it is in fact broadly applicable. Second, UDP-Lite (an even simpler UDP) will be explained; this is an example of a small protocol change that opened a large can of worms. The chapter concludes with an overview of the datagram congestion control protocol (DCCP), a newly devised IETF protocol for the transmission of unreliable (typically real-time multimedia) data streams.


2019 ◽  
Vol 4 (1) ◽  
pp. 5 ◽  
Author(s):  
Alan Marchiori ◽  
Yadong Li ◽  
Jeffrey Evans

In this work, we describe our approach and experiences bringing an instrumented soil-bentonite slurry trench cutoff wall into a modern IoT data collection and visualization pipeline. Soil-bentonite slurry trench cutoff walls have long been used to control ground water flow and contaminant transport. A Raspberry Pi computer on site periodically downloads the sensor data over a serial interface from an industrial datalogger and transmits the data wirelessly to a gateway computer located 1.3 km away using a reliable transmission protocol. The resulting time-series data is stored in a MongoDB database and data is visualized in real-time by a custom web application. The system has been in operation for over two years achieving 99.42% reliability and no data loss from the collection, transport, or storage of data. This project demonstrates the successful bridging of legacy scientific instrumentation with modern IoT technologies and approaches to gain timely web-based data visualization facilitating rapid data analysis without negatively impacting data integrity or reliability. The instrumentation system has proven extremely useful in understanding the changes in the stress state over time and could be deployed elsewhere as a means of on-demand slurry trench cutoff wall structural health monitoring for real-time stress detection linked to hydraulic conductivity or adapted for other infrastructure monitoring applications.


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