The goal of this paper is to optimize the convergence process in distributed computing. We performed two experiments for five networks and according to the obtained results derived theoretical conclusions to optimize the classification of the convergence event
This dissertation contributes toward design, convergence analysis and improving the performance of t...
"December, 1983."Bibliography: p. 40-42.NSF-ECS-8217668 ONR/N00014-77-C-0532(NR 041-519)by Dimitri P...
This article was published in the Eurasip Journal on Wireless Communications and Networking [©2016 P...
The goal of this paper is to optimize the convergence process in distributed computing. We performed...
The paper presents a novel distributed classifier of the convergence, which allows to detect the con...
The proposed convergence algorithm is aimed at enhancing the performance of distributed applications...
A mi madre, Wireless sensor networks are developed to monitor areas of interest with the purpose of ...
Bibliography: p. 43-45."October, 1984." (Revision of LIDS-P-1342)" NSF-ECS-8217668" " ONR/N00014-75-...
This dissertation deals with developing optimization algorithms which can be distributed over a netw...
Distributed flooding is a fundamental information sharing method to get network consensus via peer-t...
Many questions of interest in various fields ranging from machine learning to computational biology ...
This thesis addresses the problem of design and analysis of distributed in-network signal processing...
In this paper, we compare six known linear distributed average consensus algorithms on a sensor netw...
Designing sensor networks with decentralized and autonomous decisions capabilities, i.e., without th...
This article was published in the IEEE Xplore [© 2016 IEEE] and the definite version is available at...
This dissertation contributes toward design, convergence analysis and improving the performance of t...
"December, 1983."Bibliography: p. 40-42.NSF-ECS-8217668 ONR/N00014-77-C-0532(NR 041-519)by Dimitri P...
This article was published in the Eurasip Journal on Wireless Communications and Networking [©2016 P...
The goal of this paper is to optimize the convergence process in distributed computing. We performed...
The paper presents a novel distributed classifier of the convergence, which allows to detect the con...
The proposed convergence algorithm is aimed at enhancing the performance of distributed applications...
A mi madre, Wireless sensor networks are developed to monitor areas of interest with the purpose of ...
Bibliography: p. 43-45."October, 1984." (Revision of LIDS-P-1342)" NSF-ECS-8217668" " ONR/N00014-75-...
This dissertation deals with developing optimization algorithms which can be distributed over a netw...
Distributed flooding is a fundamental information sharing method to get network consensus via peer-t...
Many questions of interest in various fields ranging from machine learning to computational biology ...
This thesis addresses the problem of design and analysis of distributed in-network signal processing...
In this paper, we compare six known linear distributed average consensus algorithms on a sensor netw...
Designing sensor networks with decentralized and autonomous decisions capabilities, i.e., without th...
This article was published in the IEEE Xplore [© 2016 IEEE] and the definite version is available at...
This dissertation contributes toward design, convergence analysis and improving the performance of t...
"December, 1983."Bibliography: p. 40-42.NSF-ECS-8217668 ONR/N00014-77-C-0532(NR 041-519)by Dimitri P...
This article was published in the Eurasip Journal on Wireless Communications and Networking [©2016 P...