M.Tech / M.E / PhD Thesis | Electronics & Communication Engineering | India | Volume 8 Issue 6, June 2019
Different Data Compression Algorithms in Wireless Sensor Networks
Janhavi Joshi, Dr. Shreedhar A. Joshi
Wireless sensor Network (WSN), is new trending area of research which mainly concentrates on the monitoring of physical data which are spreading throughout an wide area or among the large number of people. In this type of application in WSN, energy consumption becomes a principal concern because in network all the nodes sends the sensed data to the sink node continuously longer period of time. Since the data transmission is the basic factor of for the energy consumption many research is going on compressing the data that has to be transmitted through the network so the energy consumption can be reduced. In this paper we are mainly concentrating on the Two compression techniques, 1) Distributed source coding technique, and 2) Data Aggregation technique. Matlab is used to develop the algorithm. Discrete wavelet transform is used as a compression method. This compressed data is transmitted from one node to another node by using the above two compression technique.
Keywords: data compression, distributed source coding, data aggregation, Slepian-wolf theorem, Wavelet transformation, wireless sensor network
Edition: Volume 8 Issue 6, June 2019
Pages: 108 - 111
How to Cite this Article?
Janhavi Joshi, Dr. Shreedhar A. Joshi, "Different Data Compression Algorithms in Wireless Sensor Networks", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20198344, Volume 8 Issue 6, June 2019, 108 - 111
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