A basic feature of wireless sensor networks is that transmitting data is much more expensive than processing it. Hence, data compression is really necessary to limit the amount of data transmitted within the network. In this script, we propose a data compression method suitable for wireless sensor networks. In this method, data point density is considered to keep or delete points with a region. This method is applied to the whole data set by dividing the set in blocks. One point per block will be kept which will replace the densest region. The resulting data points give the compressed form of input data. This process will cause less power consumption for wireless sensor networks while keeping the properties of actual data set. A tool is developed to test the method and compare it with other methods.
|Commitee:||Aliasgari, Mehrdad, Wagdy, Mahmoud|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 55/01M(E), Masters Abstracts International|
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