一种基于霍夫曼的无线传感器网络无损压缩算法

2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH) Pub Date : 2014-11-01 DOI:10.1109/CIPECH.2014.7019076

S. Mehfuz, Usha Tiwari, Akanksha Rathore, Ankit Arora, Diksha Singh

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引用次数: 0

摘要

能量的高效利用一直是无线传感器网络(WSN)研究的主要方向。由于传感器是电池供电的，因此在远程部署传感器的地方，电池不能经常充电。因此，能量优化对于提高电池寿命和传感器网络寿命至关重要。数据压缩是降低功耗的有效工具。本文提出了一种改进的wsn霍夫曼编码(MHC)算法。我们从一个传感节点获取了温度变化的数据集。Le-Genepi部署、Patrouille des glacier部署和St-Bernard部署的压缩比分别高达64.325%、60.51%和63.08%。

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A Huffman based lossless compression algorithm for wireless sensor networks

Utilization of energy efficiently has been a main area of research in Wireless Sensor Networks (WSN). As sensors are battery operated, battery cannot be recharged frequently in the remote location where sensors are deployed. So energy optimization is of paramount importance to increase the battery life and hence the sensor network lifetime. Data compression can be an effective tool to reduce power consumption. In this paper, we have proposed a modified version of Huffman coding (MHC) algorithm for WSNs. We have taken data set of temperature variation from a sensing node. The compression ratio obtained is up to 64.325%, 60.51% and 63.08% for Le-Genepi deployment, Patrouille des Glaciers and St-Bernard deployment respectively.

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2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)

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