Dissertation/Thesis Abstract

Data compression and visualization for wireless sensor networks
by Imam, Ahadul, M.S., California State University, Long Beach, 2015, 44; 1597773
Abstract (Summary)

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.

Indexing (document details)
Advisor: Mozumdar, Mohammad
Commitee: Aliasgari, Mehrdad, Wagdy, Mahmoud
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 55/01M(E), Masters Abstracts International
Subjects: Electrical engineering
Publication Number: 1597773
ISBN: 978-1-339-01255-1
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