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A QoS adaptive congestion control in wireless sensor network

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 Citations (Scopus)

Abstract

In wireless sensor networks congestion occurs in intermediate nodes while data packets travel from source to sink Congestion causes packet loss which in turn drastically decreases network performance and throughput. As sensors are energy constraint so it is a decisive task to detect the congestion and congested regions in a network to perform congestion control. In addition to that different application i. e. real time and non-real time data in sensor network have different QoS (delay, link utilization, and packet loss) guarantee requirement In this paper we proposed a new QoS adaptive cross-layer approach to control the congestion and support QoS guarantee for different application data in sensor network This approach maintains two congestion control algorithm to control namely short-term and long-term congestion. To ensure real time and non-real time data flow, hop-by-hop QoS aware scheduling and QoS distributed MAC Manager are considered The experimental outputs of this work are able to show that proposed scheine gives guaranteed QoS for different application data and gives a noticeable performance in terms of energy analysis and lifetime of the network.

Original languageEnglish
Title of host publication10th International Conference on Advanced Communication Technology, ICACT 2008 - Proceedings
Pages941-946
Number of pages6
DOIs
Publication statusPublished - 2008
Event2008 10th International Conference on Advanced Communication Technology - Phoenix Park, Korea, Republic of
Duration: 17 Feb 200820 Feb 2008

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
Volume2
ISSN (Print)1738-9445

Conference

Conference2008 10th International Conference on Advanced Communication Technology
Country/TerritoryKorea, Republic of
CityPhoenix Park
Period17/02/0820/02/08

Keywords

  • Congestion control
  • Non-real time data
  • Quality of senice (QoS)
  • Real time data

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