Distributed connectivity optimization in asymmetric networks / Mohammad Mehdi Asadi, Stéphane Blouin, Amir G. Aghdam.: D68-10/026-2018E-PDF

"The problem of distributed connectivity optimization of an asymmetric sensor network represented by a weighted directed graph (digraph) is investigated in this paper. The notion of generalized algebraic connectivity is used to measure the connectivity of a time-varying weighted digraph. The generalized algebraic connectivity is regarded as a nonconcave and nondifferentiable continuous cost function, and a distributed approach, based on the subspace consensus algorithm, is developed to compute the supergradient vector of the network connectivity. By considering the above-mentioned network connectivity as a function of the transmission power vector of the network, a discrete-time update procedure is proposed to compute a stationary transmission power vector of the network which locally maximizes the network connectivity. The effectiveness of the developed algorithm is subsequently demonstrated by simulations"--Abstract.

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Publication information
Department/Agency Defence R&D Canada. Atlantic Research Centre.
Title Distributed connectivity optimization in asymmetric networks / Mohammad Mehdi Asadi, Stéphane Blouin, Amir G. Aghdam.
Series title External literature (P) ; DRDC-RDDC-2018-P026
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Note(s) Cover title.
"Can unclassified."
"March 2018."
"2017 IEEE 56th Annual Conference on Decision and Control (CDC), December 12-15, 2017, Melbourne, Australia."
Includes bibliographical references.
Publishing information [Dartmouth, Nova Scotia] : Defence Research and Development Canada = Recherche et développement pour la défense Canada, 2018.
©2017
Author / Contributor Asadi, M. M., author.
Aghdam, A. G., author.
Blouin, S. author.(Stéphane), 1969-
Description 1 online resource (10 pages).
Catalogue number
  • D68-10/026-2018E-PDF
Subject terms Computer networks
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