Title
Distributed Successive Approximation Coding using Broadcast Advantage: The Two-Encoder Case
Abstract
Traditional distributed source coding rarely considers the possible link between separate encoders. However, the broadcast nature of wireless communication in sensor networks provides a free gossip mechanism which can be used to simplify encoding/decoding and reduce transmission power. Using this broadcast advantage, we present a new two-encoder scheme which imitates the ping-pong game and has a successive approximation structure. For the quadratic Gaussian case, we prove that this scheme is successively refinable on the {sum-rate, distortion pair} surface, which is characterized by the rate-distortion region of the distributed two-encoder source coding. A potential energy saving over conventional distributed coding is also illustrated. This ping-pong distributed coding idea can be extended to the multiple encoder case and provides the theoretical foundation for a new class of distributed image coding method in wireless scenarios.
Year
DOI
Venue
2010
10.1109/ALLERTON.2010.5707034
Computing Research Repository
Keywords
Field
DocType
distributed source coding,information theory,wireless communication,rate distortion theory,wireless sensor networks,source code,potential energy,network coding,sensor network,approximation theory,decoding,source coding,game theory,markov processes,sensor networks
Linear network coding,Information theory,Computer science,Coding (social sciences),Encoder,Distributed source coding,Decoding methods,Shannon–Fano coding,Distributed computing,Variable-length code
Journal
Volume
Citations 
PageRank 
abs/1010.3
2
0.37
References 
Authors
12
3
Name
Order
Citations
PageRank
Zichong Chen1212.93
Guillermo Barrenetxea241427.80
Martin Vetterli3139262397.68