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Broadcast Message Dissemination Schemes for Urban Environments : a Survey
Julio A. Sanguesa,Manuel Fogue,Piedad Garrido,Francisco J. Martinez,Juan-Carlos Cano,Carlos T. Calafate 한국산업정보학회 2014 한국산업정보학회 학술대회논문집 Vol.2014 No.1
In VANKT traffic safety applications, efficient warning message dissemination is required. The main goal is to reduce the latency while ensuring the correct reception of warning information by nearby vehicles when a dangerous situation occurs. So far, several dissemination schemes have been proposed and evaluated under different conditions, and using different simulators, making it difficult to determine which is the optimal dissemination scheme. In this paper, we assess the performance of several existing broadcast dissemination schemes by evaluating them under the same conditions, and focusing on the same metrics, thus providing researchers with a general overview of the drawbacks and benefits associated to each scheme.
Stochastic comparison of multivariate conditionally dependent mixtures
Badia, F.G.,Sanguesa, C.,Cha, J.H. Academic Press 2014 Journal of multivariate analysis Vol.129 No.-
In this paper we establish multivariate likelihood ratio, hazard rate, and reversed hazard rate stochastic orderings between two mixtures of multivariate distributions. The new results in this paper extend some recent results in the literature by assuming that the components of the mixture can be conditionally dependent.
Cha, Ji Hwan,Sanguesa, Carmen,Castro, Inmaculada Torres Institute of Electrical and Electronics Engineers 2016 IEEE transactions on reliability Vol. No.
<P>In this paper, a stochastic failure model for a system with two dependent failures is proposed and a maintenance policy for such system is studied. The system can fail due to two causes of failure: the failure due to accumulated wear and that due to the catastrophic failure. We analyze the dependence structure of the two competing failure modes. Based on these properties, we develop a maintenance strategy for such system and study the optimal maintenance policy which minimizes the long-run average cost rate.</P>