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无线传感网数据信息的一种压缩算法 被引量:1

A Data Information Compression Algorithm for Wireless Sensor Network
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摘要 提出了一种改进型自适应Huffman编码算法,目的在于压缩传输数据的容量,该算法适用于内存和计算资源受限的无线传感网络节点。它与修剪树自适应Huffman编码算法[1]相比较,能够更有效地利用内存空间,提供更好的压缩比。 In this paper, a modified adaptive Huffman coding algorithm is proposed particularly suited to the reduced data volume and computational resources of a WSN node. The performance of the modified adaptive Huffman algorithm is analyzed and compared with the tailoring adaptive Huffman coding algorithm [1]. The results indicate that our algorithm can use memory more efficiently,and provide better compression ratio.
出处 《电脑开发与应用》 2013年第12期1-3,11,共4页 Computer Development & Applications
基金 国家自然科学基金资助项目(61272419)
关键词 无线传感网络 数据压缩 HUFFMAN算法 wireless sensor network, data compression, Huffman algorithm
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参考文献7

  • 1Reinhardt A, Christin D, Hollick M, et al. Trimming the Tree: Tailoring Adaptive Huffman Coding to Wireless Sensor Networks [C]//Proceedings of the 7th European Conference on Wireless Sensor Networks (EWSN). Germany: Springer Verlag, 2010: 33-48. 被引量:1
  • 2Guitton A, Trigoni N, Helmer S. Fault-Tolerant CompressionAlgorithms for Delay-Sensitive Sensor Networks with Unreliable Links[C]//Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems (DCOSS). Greece: IEEE, 2008: 190-203. 被引量:1
  • 3Texas Instruments Inc. CC2420:2.4 GHz IEEE 802.15.4 / ZigBee-Ready RF Transceiver (Rev.B) [EB/OL].Available: http://www.ti.eom/lit/gpn/cc2420, 2007-02-09. 被引量:1
  • 4Sadler C M, Martonosi M. Data Compression Algorithms for Energy-Constrained Devices in Delay Tolerant Networks[C]// Proceedings of the 4th International Conference on Embedded Networked Sensor Systems (SenSys).USA:ACM,2006: 265-278. 被引量:1
  • 5Laerhoven K V,Gellersen H W, Malliaris Y G. Long-Term Activity Monitoring with a Wearable Sensor Node [C]// Workshop on Wearable and Implantable Body Sensor Networks(BSN ).UK: IEEE, 2006:170-174. 被引量:1
  • 6Levis P, Madden S, Polastre J, et al. TinyOS: An operating system for wireless sensor networks[C]//Ambient Intelligence. USA:Springer Verlag, 2005 : 115-148. 被引量:1
  • 7Vitter J S. Design and Analysis of Dynamic Huffman Codes[J]. Journal of the Association for Computing Machinery, 1987, 34 (4): 825-845. 被引量:1

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