Next Article in Journal
Dynamic Characteristics of a Hydraulic Amplification Mechanism for Large Displacement Actuators Systems
Previous Article in Journal
Investigation on Reliability and Scalability of an FBG-Based Hierarchical AOFSN
Sensors 2010, 10(4), 2919-2945; doi:10.3390/s100402919

Adaptive-Compression Based Congestion Control Technique for Wireless Sensor Networks

Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Gangwondo, 200-701, Korea
* Author to whom correspondence should be addressed.
Received: 27 January 2010 / Revised: 22 February 2010 / Accepted: 16 March 2010 / Published: 29 March 2010
(This article belongs to the Section Chemical Sensors)


Congestion in a wireless sensor network causes an increase in the amount of data loss and delays in data transmission. In this paper, we propose a new congestion control technique (ACT, Adaptive Compression-based congestion control Technique) based on an adaptive compression scheme for packet reduction in case of congestion. The compression techniques used in the ACT are Discrete Wavelet Transform (DWT), Adaptive Differential Pulse Code Modulation (ADPCM), and Run-Length Coding (RLC). The ACT first transforms the data from the time domain to the frequency domain, reduces the range of data by using ADPCM, and then reduces the number of packets with the help of RLC before transferring the data to the source node. It introduces the DWT for priority-based congestion control because the DWT classifies the data into four groups with different frequencies. The ACT assigns priorities to these data groups in an inverse proportion to the respective frequencies of the data groups and defines the quantization step size of ADPCM in an inverse proportion to the priorities. RLC generates a smaller number of packets for a data group with a low priority. In the relaying node, the ACT reduces the amount of packets by increasing the quantization step size of ADPCM in case of congestion. Moreover, in order to facilitate the back pressure, the queue is controlled adaptively according to the congestion state. We experimentally demonstrate that the ACT increases the network efficiency and guarantees fairness to sensor nodes, as compared with the existing methods. Moreover, it exhibits a very high ratio of the available data in the sink.
Keywords: wireless sensor network; congestion; compression; queue control wireless sensor network; congestion; compression; queue control
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Lee, J.-H.; Jung, I.-B. Adaptive-Compression Based Congestion Control Technique for Wireless Sensor Networks. Sensors 2010, 10, 2919-2945.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here


[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert