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Congestion Control Protocol for Traffic Control in Multimedia Applications Using WSN

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 197))

Abstract

TCP/IP is reliable, connection oriented protocol for data transmission. It performs very well in wired network but in case of wireless sensor network it is not performing with good throughput. Congestion control is a major problem of TCP/IP performance. A sensor is congested if it receives more traffic than its maximum forwarding rate. The nature of sensor deployment leads to unpredictable patterns of connectivity and varied node density. This causes uneven bandwidth provisioning on the forwarding paths. The data sources are often clustered at sensitive areas under scrutiny. They may take similar paths to the base stations. When data converge toward a base station, congestion may occur at sensors that receive more data than they can forward. Similarly for multimedia applications UDP is unreliable. So Datagram Congestion Control Protocol is suggested for timely, reliable delivery in multimedia applications. It is a general purpose transport protocol for establishment, maintenance and teardown of an unreliable packet flow, and Congestion control of packet. For multimedia applications timely performance of TCP/IP is very important. So Extended Datagram Congestion Control Protocol is suggested for multiple flows. This protocol will reduce congestion in Wireless Sensor Network.

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© 2011 Springer-Verlag Berlin Heidelberg

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Suryawanshi, S., Hiray, S.R. (2011). Congestion Control Protocol for Traffic Control in Multimedia Applications Using WSN. In: Wyld, D.C., Wozniak, M., Chaki, N., Meghanathan, N., Nagamalai, D. (eds) Trends in Network and Communications. WeST NeCoM WiMoN 2011 2011 2011. Communications in Computer and Information Science, vol 197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22543-7_25

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  • DOI: https://doi.org/10.1007/978-3-642-22543-7_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22542-0

  • Online ISBN: 978-3-642-22543-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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