TY - JOUR
T1 - Consensus in Correlated Random Wireless Sensor Networks
AU - Pereira, S. S.
AU - Pages-Zamora, A.
PY - 2011
Y1 - 2011
N2 - This contribution studies the convergence of consensus algorithms in random wireless sensor networks with spatially correlated links. Aiming at reducing the convergence time, we adopt an optimization criterion based on the minimization of the spectral radius of a matrix for which we derive closed-form expressions for both directed and undirected topologies. We show that the minimization of the spectral radius assuming constant link weights is a convex optimization problem. The expressions derived subsume known protocols found in literature
AB - This contribution studies the convergence of consensus algorithms in random wireless sensor networks with spatially correlated links. Aiming at reducing the convergence time, we adopt an optimization criterion based on the minimization of the spectral radius of a matrix for which we derive closed-form expressions for both directed and undirected topologies. We show that the minimization of the spectral radius assuming constant link weights is a convex optimization problem. The expressions derived subsume known protocols found in literature
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000297115500054&KeyUID=WOS:000297115500054
U2 - 10.1109/TSP.2011.2166552
DO - 10.1109/TSP.2011.2166552
M3 - Article
VL - 59
SP - 6279
EP - 6284
JO - Signal Processing, IEEE Transactions on
JF - Signal Processing, IEEE Transactions on
ER -