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Front. Inform. Technol. Electron. Eng.  2014, Vol. 15 Issue (3): 187-199    DOI: 10.1631/jzus.C1300175
    
A probabilistic approach for predictive congestion control in wireless sensor networks
R. Annie Uthra, S. V. Kasmir Raja, A. Jeyasekar, Anthony J. Lattanze
Department of Computer Science and Engineering, SRM University, Tamil Nadu 6003203, India; Department of Software Engineering, Carnegie Mellon University, Pittsburgh, PA 15213-3890, USA
A probabilistic approach for predictive congestion control in wireless sensor networks
R. Annie Uthra, S. V. Kasmir Raja, A. Jeyasekar, Anthony J. Lattanze
Department of Computer Science and Engineering, SRM University, Tamil Nadu 6003203, India; Department of Software Engineering, Carnegie Mellon University, Pittsburgh, PA 15213-3890, USA
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摘要： Any node in a wireless sensor network is a resource constrained device in terms of memory, bandwidth, and energy, which leads to a large number of packet drops, low throughput, and significant waste of energy due to retransmission. This paper presents a new approach for predicting congestion using a probabilistic method and controlling congestion using new rate control methods. The probabilistic approach used for prediction of the occurrence of congestion in a node is developed using data traffic and buffer occupancy. The rate control method uses a back-off selection scheme and also rate allocation schemes, namely rate regulation (RRG) and split protocol (SP), to improve throughput and reduce packet drop. A back-off interval selection scheme is introduced in combination with rate reduction (RR) and RRG. The back-off interval selection scheme considers channel state and collision-free transmission to prevent congestion. Simulations were conducted and the results were compared with those of decentralized predictive congestion control (DPCC) and adaptive duty-cycle based congestion control (ADCC). The results showed that the proposed method reduces congestion and improves performance.
关键词： Congestion;  Rate allocation;  Congestion control;  Packet loss;  Back-off interval;  Rate control    
Abstract: Any node in a wireless sensor network is a resource constrained device in terms of memory, bandwidth, and energy, which leads to a large number of packet drops, low throughput, and significant waste of energy due to retransmission. This paper presents a new approach for predicting congestion using a probabilistic method and controlling congestion using new rate control methods. The probabilistic approach used for prediction of the occurrence of congestion in a node is developed using data traffic and buffer occupancy. The rate control method uses a back-off selection scheme and also rate allocation schemes, namely rate regulation (RRG) and split protocol (SP), to improve throughput and reduce packet drop. A back-off interval selection scheme is introduced in combination with rate reduction (RR) and RRG. The back-off interval selection scheme considers channel state and collision-free transmission to prevent congestion. Simulations were conducted and the results were compared with those of decentralized predictive congestion control (DPCC) and adaptive duty-cycle based congestion control (ADCC). The results showed that the proposed method reduces congestion and improves performance.
Key words: Congestion    Rate allocation    Congestion control    Packet loss    Back-off interval    Rate control
收稿日期: 2013-06-28 出版日期: 2014-03-05
CLC:  TP393  
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R. Annie Uthra
S. V. Kasmir Raja
A. Jeyasekar
Anthony J. Lattanze

引用本文:

R. Annie Uthra, S. V. Kasmir Raja, A. Jeyasekar, Anthony J. Lattanze. A probabilistic approach for predictive congestion control in wireless sensor networks. Front. Inform. Technol. Electron. Eng., 2014, 15(3): 187-199.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C1300175    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2014/V15/I3/187

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