Approximation and Heuristic Algorithms for Computing Backbones in Asymmetric Ad-hoc Networks
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DOI: 10.1007/s00224-017-9836-z
Abstract: We consider the problem of dominating set-based virtual backbone used for routing in asymmetric wireless ad-hoc networks. These networks have non-uniform transmission ranges and are modeled using directed disk graphs. The corresponding graph theoretic problem… read more here.
Keywords: approximation; algorithms; strongly connected; hoc networks ... See more keywords
The Effects of Structural Perturbations on the Synchronizability of Diffusive Networks
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DOI: 10.1007/s00332-019-09534-7
Abstract: We investigate the effects of structural perturbations on the networks ability to synchronize. We establish a classification of directed links according to their impact on synchronizability. We focus on adding directed links in weakly connected… read more here.
Keywords: effects structural; synchronizability; synchronizability diffusive; strongly connected ... See more keywords
Analysis of a network’s asymptotic behavior via its structure involving its strongly connected components
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DOI: 10.1017/nws.2019.24
Abstract: Abstract In this paper, it is addressed how network structure can be related to asymptotic network behavior. If such a relation is studied, that usually concerns only strongly connected networks and only linear functions describing… read more here.
Keywords: network structure; asymptotic behavior; network; strongly connected ... See more keywords
On strongly connected networks with excitable-refractory dynamics and delayed coupling
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DOI: 10.1098/rsos.160912
Abstract: We consider a directed graph model for the human brain’s neural architecture that is based on small scale, directed, strongly connected sub-graphs (SCGs) of neurons, that are connected together by a sparser mesoscopic network. We… read more here.
Keywords: connected networks; excitable refractory; networks excitable; sub graphs ... See more keywords
Structural Controllability for a Class of Complex Networks With Root Strongly Connected Components
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DOI: 10.1109/access.2020.2971616
Abstract: Structural controllability of complex networks has been an attractive research area, and Minimum Inputs Theorem was proposed to identify the minimum driver nodes for complex networks with one-dimensional node dynamics. Then, the Minimum Inputs Theorem… read more here.
Keywords: structural controllability; connected components; root strongly; complex networks ... See more keywords
Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different Formations.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.2977391
Abstract: This article addresses an important problem of how to improve the learnability of an intelligent agent in a strongly connected multiagent network. A novel spatial-dimensional linear dynamic relationship (SLDR) is developed to formulate the spatial… read more here.
Keywords: control; dynamic relationship; connected multiagent; linear dynamic ... See more keywords