naa a22 4500 51079212X CHVBK 20180411083323.0 cr unu---uuuuu 180411e20130801xx s 000 0 eng 10.1007/s11277-012-0913-y doi (NATIONALLICENCE)springer-10.1007/s11277-012-0913-y A Rate-Distortion Based Aggregation Method Using Spatial Correlation for Wireless Sensor Networks [Elektronische Daten] [Mehdi Aminian, Mohammad Akbari, Masoud Sabaei] Today we are witnessing an amazing growth of wireless sensor networks due to many factors including but limited to reducing cost of semiconductor components, rapid deployment of wireless networks, and attention to low-power aspect that makes these networks suitable for energy sensitive applications to a large extent. The power consumption requirement has raised the demand for the new concepts such as data aggregation. Data correlation plays an important role in an efficient aggregation process. This paper introduces a new correlation-based aggregation algorithm called RDAC (Rate Distortion in Aggregation considering Correlation) that works based on centralized source coding. In our method, by collecting correlated data at an aggregation point while using the Rate-Distortion (RD) theory, we can reduce the load of data transmitted to the base station by considering the maximum tolerable distortion by the user. To the best of our knowledge, nobody has yet used the RD theory for the data aggregation in wireless sensor networks. In this paper, a mathematical model followed by implementations demonstrates the efficiency of the proposed method under different conditions. By using the unique features of the RD theory, the correlation matrix and observing the behavior of the proposed method in different network topologies, we can find the mathematical upper and lower bounds for the amount of aggregated data in a randomly distributed sensor network. The bounds not only determine the upper and lower limits of the data compressibility, it also makes possible the estimation of the required bit count of the network without having to invoke the aggregation algorithm. This method therefore, allows us to have a good estimation of the amount of energy consumed by the network. Springer Science+Business Media New York, 2012 Spatial correlation nationallicence Upper bound nationallicence Lower bound nationallicence Data aggregation nationallicence Rate-Distortion theory nationallicence Wireless sensor networks nationallicence Centralize source coding nationallicence Aminian Mehdi Computer Engineering and Information Technology Department, Amirkabir University of Technology, Hafez Avenue, Tehran, Iran aut Akbari Mohammad Computer Engineering and Information Technology Department, Amirkabir University of Technology, Hafez Avenue, Tehran, Iran aut Sabaei Masoud Computer Engineering and Information Technology Department, Amirkabir University of Technology, Hafez Avenue, Tehran, Iran aut Wireless Personal Communications Springer US; http://www.springer-ny.com 71/3(2013-08-01), 1837-1877 0929-6212 71:3<1837 2013 71 11277 https://doi.org/10.1007/s11277-012-0913-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0913-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Aminian Mehdi Computer Engineering and Information Technology Department, Amirkabir University of Technology, Hafez Avenue, Tehran, Iran aut NATIONALLICENCE 700 1- Akbari Mohammad Computer Engineering and Information Technology Department, Amirkabir University of Technology, Hafez Avenue, Tehran, Iran aut NATIONALLICENCE 700 1- Sabaei Masoud Computer Engineering and Information Technology Department, Amirkabir University of Technology, Hafez Avenue, Tehran, Iran aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 71/3(2013-08-01), 1837-1877 0929-6212 71:3<1837 2013 71 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer