00000nam 2200000zi 4500 9.875766 CaOODSP 20221107164530 m o d f cr |n||||||||| 190702t20172018nsc #ob f100 0 eng d CaOODSP eng rda CaOODSP n-cn--- D68-10/026-2018E-PDF Asadi, M. M., author. Distributed connectivity optimization in asymmetric networks / Mohammad Mehdi Asadi, Stéphane Blouin, Amir G. Aghdam. [Dartmouth, Nova Scotia] : Defence Research and Development Canada = Recherche et développement pour la défense Canada, 2018. ©2017 1 online resource (10 pages). text txt rdacontent computer c rdamedia online resource cr rdacarrier External literature (P) ; DRDC-RDDC-2018-P026 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. "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. gccst Computer networks Aghdam, A. G., author. Blouin, S. author. (Stéphane), 1969- Defence R&D Canada. Atlantic Research Centre. External literature (P) (Defence R&D Canada) DRDC-RDDC-2018-P026. (CaOODSP)9.854437 PDF 567 KB https://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-10-026-2018-eng.pdf