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Adaptive-compression based congestion control technique for wireless sensor networks.

Joa-Hyoung Lee¹, In-Bum Jung

¹Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Gangwondo, 200-701, Korea. jinnie4u@kangwon.ac.kr

Sensors (Basel, Switzerland)

|February 10, 2012

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This study introduces an Adaptive Compression-based congestion control Technique (ACT) for wireless sensor networks. ACT effectively reduces data loss and transmission delays by adaptively compressing data packets during network congestion.

Area of Science:

Computer Science
Network Engineering
Data Compression

Background:

Wireless sensor networks (WSNs) face significant data loss and transmission delays due to network congestion.
Existing congestion control methods often struggle to maintain network efficiency and data integrity.

Purpose of the Study:

To propose a novel congestion control technique, Adaptive Compression-based congestion control Technique (ACT), for WSNs.
To enhance network efficiency and ensure fairness among sensor nodes during congestion.

Main Methods:

ACT employs a multi-stage compression approach: Discrete Wavelet Transform (DWT) for frequency domain transformation and priority assignment, Adaptive Differential Pulse Code Modulation (ADPCM) for data range reduction, and Run-Length Coding (RLC) for packet count minimization.
DWT classifies data into frequency groups, assigning priorities inversely proportional to frequency.

Keywords:

compression congestion queue control wireless sensor network

Related Experiment Videos

ADPCM's quantization step size is inversely proportional to data priorities, and RLC generates fewer packets for low-priority data.

Main Results:

Experimental results demonstrate that ACT significantly increases network efficiency compared to existing methods.
ACT ensures fairness among sensor nodes, preventing performance degradation for some nodes.
The technique achieves a high ratio of available data at the sink, minimizing data loss.

Conclusions:

The proposed ACT provides an effective solution for congestion control in WSNs.
ACT's adaptive compression strategy enhances data transmission reliability and network performance.
The method offers a promising approach for managing congestion in resource-constrained wireless environments.