scholarly journals Improved Upper Bounds to the Causal Quadratic Rate-Distortion Function for Gaussian Stationary Sources

2012 ◽  
Vol 58 (5) ◽  
pp. 3131-3152 ◽  
Author(s):  
Milan S. Derpich ◽  
Jan Ostergaard
Keyword(s):  
Rate Distortion ◽  
Upper Bounds ◽  
Distortion Function ◽  
Stationary Sources

scholarly journals Upper Bounds for the Rate Distortion Function of Finite-Length Data Blocks of Gaussian WSS Sources

Entropy ◽  
2017 ◽  
Vol 19 (10) ◽  
pp. 554 ◽  
Author(s):  
Jesús Gutiérrez-Gutiérrez ◽  
Marta Zárraga-Rodríguez ◽  
Xabier Insausti
Keyword(s):  
Finite Length ◽  
Rate Distortion ◽  
Upper Bounds ◽  
Distortion Function ◽  
Length Data

scholarly journals Rate-Distortion Function Upper Bounds for Gaussian Vectors and Their Applications in Coding AR Sources

Entropy ◽  
2018 ◽  
Vol 20 (6) ◽  
pp. 399 ◽  
Author(s):  
Jesús Gutiérrez-Gutiérrez ◽  
Marta Zárraga-Rodríguez ◽  
Fernando Villar-Rosety ◽  
Xabier Insausti
Keyword(s):  
Rate Distortion ◽  
Upper Bounds ◽  
Distortion Function ◽  
Gaussian Vectors

scholarly journals Calculating the Number of Cluster Heads Based on the Rate-Distortion Function in Wireless Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Mingxin Yang ◽  
Jingsha He ◽  
Yuqiang Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Fusion ◽  
Rate Distortion ◽  
Distortion Function ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
Cluster Heads

Due to limited resources in wireless sensor nodes, energy efficiency is considered as one of the primary constraints in the design of the topology of wireless sensor networks (WSNs). Since data that are collected by wireless sensor nodes exhibit the characteristics of temporal association, data fusion has also become a very important means of reducing network traffic as well as eliminating data redundancy as far as data transmission is concerned. Another reason for data fusion is that, in many applications, only some of the data that are collected can meet the requirements of the sink node. In this paper, we propose a method to calculate the number of cluster heads or data aggregators during data fusion based on the rate-distortion function. In our discussion, we will first establish an energy consumption model and then describe a method for calculating the number of cluster heads from the point of view of reducing energy consumption. We will also show through theoretical analysis and experimentation that the network topology design based on the rate-distortion function is indeed more energy-efficient.

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