scholarly journals An Upper Bound on the Sum-Rate Distortion Function and Its Corresponding Rate Allocation Schemes for the CEO Problem

2004 ◽  
Vol 22 (6) ◽  
pp. 977-987 ◽  
Author(s):  
J. Chen ◽  
X. Zhang ◽  
T. Berger ◽  
S.B. Wicker
Keyword(s):  
Upper Bound ◽  
Rate Distortion ◽  
Rate Allocation ◽  
Distortion Function ◽  
Sum Rate

An upper bound on the rate distortion function for source coding with partial side information at the decoder

1979 ◽  
Vol 25 (6) ◽  
pp. 664-666 ◽  
Author(s):  
T. Berger ◽  
K. Housewright ◽  
J. Omura ◽  
Suiyin Yung ◽  
J. Wolfowitz
Keyword(s):  
Upper Bound ◽  
Source Coding ◽  
Side Information ◽  
Rate Distortion ◽  
Distortion Function

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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