Robustness vs. efficiency in sensor networks

We consider the use of distributed source and network coding in networks of redundant, unreliable sensors. A design algorithm is described for distributed joint source and network coding that creates an optimal balance between compression efficiency and network robustness.

[1]  Stark C. Draper,et al.  Side information aware coding strategies for sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[2]  Vinod M. Prabhakaran,et al.  Rate region of the quadratic Gaussian CEO problem , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[3]  Panganamala Ramana Kumar,et al.  RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN , 2001 .

[4]  Toby Berger,et al.  An upper bound on the sum-rate distortion function and its corresponding rate allocation schemes for the CEO problem , 2004, IEEE Journal on Selected Areas in Communications.

[5]  Robert M. Gray,et al.  Encoding of correlated observations , 1987, IEEE Trans. Inf. Theory.

[6]  Thomas M. Cover,et al.  A Proof of the Data Compression Theorem of Slepian and Wolf for Ergodic Sources , 1971 .

[7]  Zhen Zhang,et al.  On the CEO problem , 1994, Proceedings of 1994 IEEE International Symposium on Information Theory.

[8]  Muriel Médard,et al.  An algebraic approach to network coding , 2003, TNET.

[9]  Yasutada Oohama,et al.  The Rate-Distortion Function for the Quadratic Gaussian CEO Problem , 1998, IEEE Trans. Inf. Theory.

[10]  Toby Berger,et al.  The quadratic Gaussian CEO problem , 1997, IEEE Trans. Inf. Theory.

[11]  Yasutada Oohama Gaussian multiterminal source coding , 1997, IEEE Trans. Inf. Theory.

[12]  Toby Berger,et al.  The CEO problem [multiterminal source coding] , 1996, IEEE Trans. Inf. Theory.

[13]  Muriel Médard,et al.  A new source-splitting approach to the slepian-wolf problem , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[14]  Rudolf Ahlswede,et al.  Network information flow , 2000, IEEE Trans. Inf. Theory.

[15]  R. Koetter,et al.  Network Coding for Correlated Sources , 2004 .

[16]  R. Urbanke,et al.  Asynchronous Slepian-Wolf coding via source-splitting , 1997, Proceedings of IEEE International Symposium on Information Theory.

[17]  Aaron D. Wyner,et al.  The rate-distortion function for source coding with side information at the decoder , 1976, IEEE Trans. Inf. Theory.

[18]  Baltasar Beferull-Lozano,et al.  On network correlated data gathering , 2004, IEEE INFOCOM 2004.

[19]  David Tse,et al.  Multiaccess Fading Channels-Part I: Polymatroid Structure, Optimal Resource Allocation and Throughput Capacities , 1998, IEEE Trans. Inf. Theory.

[20]  Jack K. Wolf,et al.  Noiseless coding of correlated information sources , 1973, IEEE Trans. Inf. Theory.