DocumentCode :
3403046
Title :
AdamRTP: Adaptive Multi-flows Real-time Multimedia delivery over WSNs
Author :
Zakaria, Aniss ; El-Marakby, Randa
Author_Institution :
Ajman Univ. of Sci. & Technol., Ajman, United Arab Emirates
fYear :
2009
fDate :
14-17 Dec. 2009
Firstpage :
440
Lastpage :
445
Abstract :
Real-time multimedia applications are time sensitive and require extra resources from the network, e.g. large bandwidth and big memory. However, wireless sensor networks (WSNs) suffer from limited resources such as computational, storage, and bandwidth capabilities. Therefore, sending real-time multimedia applications over WSNs can be very challenging. For this reason, we propose an adaptive multi-flows real-time multimedia transport protocol (AdamRTP) that has the ability to ease the process of transmitting real-time multimedia over WSNs by splitting the multimedia source stream into smaller independent flows using an MDC-aware encoder, then sending each flow to the destination using joint/disjoint path(s). AdamRTP uses also dynamic adaptation techniques, e.g. changing number of flows and rate adaptation. Simulations experiments demonstrate that AdamRTP enhances the quality of service (QoS) of the data transmission. Also, we show that in an ideal WSN, using multi-flows consumes less power per node than using a single flow and extends the life-time of the network.
Keywords :
multimedia communication; transport protocols; wireless sensor networks; MDC-aware encoder; WSN; adaptive multiflows real-time multimedia transport protocol; data transmission; dynamic adaptation techniques; joint-disjoint path; multimedia source stream splitting; quality of service; real-time multimedia transmission process; wireless sensor networks; Bandwidth; Decoding; Mechanical sensors; Quality of service; Sensor phenomena and characterization; Streaming media; Telecommunication traffic; Transport protocols; Wireless communication; Wireless sensor networks; AdamRTP; Multi-flow; QoS; RR; RTP; Real-time multimedia; Wireless Sensor Network (WSN);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2009 IEEE International Symposium on
Conference_Location :
Ajman
Print_ISBN :
978-1-4244-5949-0
Type :
conf
DOI :
10.1109/ISSPIT.2009.5407580
Filename :
5407580
Link To Document :
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