Title :
Coordination Capacity
Author :
Cuff, Paul Warner ; Permuter, Haim H. ; Cover, Thomas M.
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
Abstract :
We develop elements of a theory of cooperation and coordination in networks. Rather than considering a communication network as a means of distributing information, or of reconstructing random processes at remote nodes, we ask what dependence can be established among the nodes given the communication constraints. Specifically, in a network with communication rates {Ri,j} between the nodes, we ask what is the set of all achievable joint distributions p(x1, ..., xm) of actions at the nodes of the network. Several networks are solved, including arbitrarily large cascade networks. Distributed cooperation can be the solution to many problems such as distributed games, distributed control, and establishing mutual information bounds on the influence of one part of a physical system on another.
Keywords :
game theory; telecommunication networks; cascade network; communication constraint; communication network; communication rates; cooperation theory; coordination capacity; distributed control; distributed cooperation; distributed games; joint distribution; Communication networks; Computer networks; Decoding; Distributed computing; Distributed control; Joints; Markov processes; Mutual information; Network coding; Network topology; Probability distribution; Random processes; Rate-distortion; Source coding; Common randomness; Wyner common information; cooperation capacity; coordination capacity; network dependence; rate distortion; source coding; strong Markov lemma; task assignment;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2010.2054651