Robust compression for data of wireless sensor networks

被引：0
|
作者：
He, Feng [1 ]
Wu, Lenan [1 ]
机构：
[1] School of Information Science and Engineering, Southeast University, Nanjing 210096, China
来源：
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2007年 / 28卷 / SUPPL. 5期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
According to the noise environment and the requirement of energy saving of wireless sensor networks, a class of signal compression methods with high efficiency, precision preserving, and error tolerance is presented in this paper. It is featured in that a masking threshold to errors of quantification is obtained from the input noise or the input signal-to-noise ratio, which is used to guarantee or control the compression ratio of lossy encoders so as to preserve the real precision of compressed noisy signals, and be advantageous to robust transmission of compressed data and architecture simplification of sensor nodes.
引用
收藏
页码：125 / 128
相关论文
共 50 条
  • [41] Node selection approach for data compression in wireless multimedia sensor networks
    Xiao F.
    Yang X.-K.
    Sun L.-J.
    Wang R.-C.
    Tang X.-X.
    2016, Beijing University of Posts and Telecommunications (39): : 15 - 19
  • [42] Distributed DCT Based Data Compression in Clustered Wireless Sensor Networks
    Minh Tuan Nguyen
    Teague, Keith A.
    2015 11TH INTERNATIONAL CONFERENCE ON THE DESIGN OF RELIABLE COMMUNICATION NETWORKS (DRCN), 2015, : 255 - 258
  • [43] Subband energy adaptive data compression method for wireless sensor networks
    Huang, Qingqing
    Tang, Baoping
    Deng, Lei
    Xiao, Xin
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2014, 35 (09): : 1998 - 2003
  • [44] Lightweight Data Compression in Wireless Sensor Networks Using Huffman Coding
    Medeiros, Henry Ponti
    Maciel, Marcos Costa
    Souza, Richard Demo
    Pellenz, Marcelo Eduardo
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2014,
  • [45] New Adaptive Compression Scheme for Data Aggregation in Wireless Sensor Networks
    Kasirajan, Priya
    Larsen, Carl
    Jagannathan, S.
    2010 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC 2010), 2010,
  • [46] Optimization on Data Object Compression and Replication in Wireless Multimedia Sensor Networks
    Tang, MingJian
    Cao, Jinli
    Jia, Xiaohua
    Liu, Ke-Yan
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PROCEEDINGS, 2009, 5463 : 77 - +
  • [47] Energy Efficient Data Compression and Aggregation Technique for Wireless sensor Networks
    Karthikeyan, B.
    Kumar, R.
    Rao, Srinivasa
    Inabathini
    2017 INTERNATIONAL CONFERENCE ON NEXTGEN ELECTRONIC TECHNOLOGIES: SILICON TO SOFTWARE (ICNETS2), 2017, : 209 - 212
  • [48] Robust data collection for energy-harvesting wireless sensor networks
    Liu, Ren-Shiou
    Chen, Yen-Chen
    COMPUTER NETWORKS, 2020, 167
  • [49] Robust Reconstruction Model for Compressive Data Gathering in Wireless Sensor Networks
    Wang, Nan
    Chen, Du
    Fei, Zhijie
    Lin, Fang
    Wan, Jiangwen
    PROCEEDINGS OF 2017 IEEE 2ND INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC), 2017, : 1012 - 1015
  • [50] Robust and Resilient Data Collection Protocols for Multihop Wireless Sensor Networks
    Kominami, Daichi
    Sugano, Masashi
    Murata, Masayuki
    Hatauchi, Takaaki
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2012, E95B (09) : 2740 - 2750
12345