Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Differentiated Consensuses in Decentralized Load Balancing Problem with Randomized Topology, Noise, and Delays. / Amelina, Natalia; Granichin, Oleg; Granichina, Olga; Jiang, Yuming.
2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC). Том 2015-February February. ред. IEEE Canada, 2014. стр. 6969-6974 (Proceedings of the IEEE Conference on Decision and Control).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Differentiated Consensuses in Decentralized Load Balancing Problem with Randomized Topology, Noise, and Delays
AU - Amelina, Natalia
AU - Granichin, Oleg
AU - Granichina, Olga
AU - Jiang, Yuming
PY - 2014
Y1 - 2014
N2 - In this paper, a new consensus problem, termed differentiated consensuses, is studied. This consensus problem is that, in a system with multiple classes, consensus is targeted for each class, which may be different among classes. Specifically, we investigate differentiated consensuses in a distributed stochastic network system of nodes (or agents), where tasks, classified with different priorities, are serviced. The network system is assumed to have switched topology, noise and delay in measurement, and cost on the topology. The goal is to reach/maintain balanced (equal) load, i.e. consensus, across the network and at the same time to meet the topology cost constraint, both for every priority class. A control protocol is proposed. We prove that the proposed control protocol is able to meet the topology cost constraint and achieve approximate consensus for each of the priority classes in the network.
AB - In this paper, a new consensus problem, termed differentiated consensuses, is studied. This consensus problem is that, in a system with multiple classes, consensus is targeted for each class, which may be different among classes. Specifically, we investigate differentiated consensuses in a distributed stochastic network system of nodes (or agents), where tasks, classified with different priorities, are serviced. The network system is assumed to have switched topology, noise and delay in measurement, and cost on the topology. The goal is to reach/maintain balanced (equal) load, i.e. consensus, across the network and at the same time to meet the topology cost constraint, both for every priority class. A control protocol is proposed. We prove that the proposed control protocol is able to meet the topology cost constraint and achieve approximate consensus for each of the priority classes in the network.
KW - SENSOR NETWORKS
KW - INFORMATION
UR - http://www.scopus.com/inward/record.url?scp=84988221502&partnerID=8YFLogxK
U2 - 10.1109/CDC.2014.7040484
DO - 10.1109/CDC.2014.7040484
M3 - статья в сборнике материалов конференции
AN - SCOPUS:84988221502
VL - 2015-February
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 6969
EP - 6974
BT - 2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC)
PB - IEEE Canada
Y2 - 15 December 2014 through 17 December 2014
ER -
ID: 74663724