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Reliable Communication of Highly Distributed Information

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Abstract

Shannon’s theory of information [1] and subsequent generalizations to multiple users (for a survey see [2]) consider the situation of a small number of users each with an unlimited amount of information. The users communicate over a noisy channel with the goal of exchanging their information reliably. Here, we consider a complementary model. We assume a very large number of users, each with a small amount of information. We also assume that the communication takes place over a noisy channel but assume that the goal of the users is to compute a function reliably. This highly distributed information model is motivated by problems of decision making in a network. The users could be either a large number of processors, human beings, or simply the components of a logic circuit. In all cases, the noise is an inevitable physical limitation.

See contribution by Gallager in Chapter VI for more on this.

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References

  1. C.E. Shannon, “A Mathematical Theory of Communications,” Bell Syst. Tech. J., 27, pp. 379–423 and 623–656 (July and Oct. 1948).

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  2. A. El Gamal and T. Cover, “Multiple User Information Theory,” Proc. IEEE, 68, No. 12, pp. 1466–1483 (Dec. 1980).

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  3. R. Gallager, “Computing Parity in a Broadcast Network,” in this book.

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  4. A. Orlitsky and A. El Gamal, “Broadcast Complexity,” in preparation.

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© 1987 Springer-Verlag New York Inc.

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El Gamal, A. (1987). Reliable Communication of Highly Distributed Information. In: Cover, T.M., Gopinath, B. (eds) Open Problems in Communication and Computation. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4808-8_14

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  • DOI: https://doi.org/10.1007/978-1-4612-4808-8_14

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-9162-6

  • Online ISBN: 978-1-4612-4808-8

  • eBook Packages: Springer Book Archive

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