Title :
Finite-field consensus
Author :
Pasqualetti, Fabio ; Borra, Domenica ; Bullo, Francesco
Author_Institution :
Mech. Eng. Dept., Univ. of California, Riverside, Riverside, CA, USA
Abstract :
This work studies consensus networks over finite fields, where agents process and communicate values from the set of integers {0,..., p-1}, for some prime number p, and operations are performed modulo p. For consensus networks over finite fields we provide necessary and sufficient conditions on the network topology and weights to ensure convergence. For instance we show that, differently from the case of consensus networks over the field of real numbers, consensus networks over finite fields converge in finite time, and that properties of the agents interaction graph are not sufficient to ensure finite-field consensus. Finally, we discuss the application of finite-field consensus to distributed averaging in sensor networks.
Keywords :
multi-agent systems; multi-robot systems; network theory (graphs); agents interaction graph; consensus networks; distributed averaging; finite-field consensus; necessary conditions; network topology; sensor networks; sufficient conditions; Context; Convergence; Estimation; Heuristic algorithms; Polynomials; Trajectory; Vectors;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760279