Proceedings ArticleDOI
A Data Compression Algorithm Based on Adaptive Huffman Code for Wireless Sensor Networks
Mo Yuan-bin,Qiu Yubing,Liu Ji-zhong,Ling Yanxia +3 more
- Vol. 1, pp 3-6
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TLDR
A novel compression algorithm based on the principle of Adaptive Huffman Code is proposed in the paper and to some extent, it can achieve loss less compression with required accuracy by making the full use of the difference value of the data.Abstract:
In order to reduce energy consumption of Wireless Sensor Network nodes, a novel compression algorithm based on the principle of Adaptive Huffman Code is proposed in the paper for the collected temperature data in real environment by the sensor nodes are continuous and slow changing. The algorithm is simple, easy to implement, and suitable for application in wireless sensor networks. To some extent, it can achieve loss less compression with required accuracy by making the full use of the difference value of the data. At the end of the paper an experiment is carried out and the result shows the algorithm is practical.read more
Citations
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Compression of smart meter big data: A survey
TL;DR: This study presents a comprehensive study on the compression techniques for smart meter big data to reduce the transmission pressure and storage overhead, improve data mining efficiency, and thus fulfil the potential of smart meterbig data.
Book ChapterDOI
Energy-Efficient Communication Using Data Aggregation and Data Compression Techniques in Wireless Sensor Networks: A Survey
TL;DR: An attempt has been made in summarizing and comparing different compression and data aggregation algorithms proposed for WSN applications.
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Impact of compression and aggregation in wireless networks on smart meter data
M. Zeinali,John Thompson +1 more
TL;DR: This work proposes applying the Adaptive Huffman(AH) and Lempel-Ziv Welsh (LZW) algorithms on different parts of the network topology (smart meters and data aggregators), and studies the performance and complexity of compression for typical energy measure sampling periods of 10 minutes to one hour.
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A secure technique for unstructured big data using clustering method
Tabrez Nafis,Ranjit Biswas +1 more
TL;DR: This research provides a new compact clustering technique which prevents data loss by including SDES encryption technique to protect security attacks, a new error control scheme to address any number of transmission errors and Huffman compression to control the data size and extra security overheads.
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DORS: A data overhead reduction scheme for hybrid networks in smart cities
TL;DR: Results indicate that DORS has the capability to decrease the size of transmitted data in the simulated smart city environment while attaining a notable performance enhancement in terms of data reduction rate, end‐to‐end delay, packet loss ratio, throughput, and energy consumption ratio.
References
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Journal ArticleDOI
Wireless sensor networks: a survey
TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
Proceedings ArticleDOI
A survey on data compression in wireless sensor networks
N. Kimura,Shahram Latifi +1 more
TL;DR: Some of compression algorithms, which have been specifically designed for WSNs, are presented in this paper: coding by ordering, pipelined in-network compression, low-complexity video compression, and distributed compression.