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Doughnut Effect removing Scheme in sensor networks
Inbo Sim,Jaiyoung Lee 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
In sensor networks, nodes neighboring the sink node consume power very fast and then fail, compared with other nodes. Because of this, the network cannot transmit data any more. To solve this problem called “Doughnut Effect” in, this paper proposes a scheme that, after dividing the network and allocating the optimal buffer threshold in each divided network, stores data in a buffer and transmits the data when the buffer size exceeds the optimal buffer threshold so that packet overhead is reduced and Doughnut Effect can be removed. Also, we evaluate the performance of this scheme in terms of various parameters by using simulation, and show that this proposed scheme considerably improves the power efficiency in sensor networks.
Lyapunov Inequalities for One-Dimensional p-Laplacian Problems with a Singular Weight Function
Sim, Inbo,Lee, Yong-Hoon Hindawi Publishing Corporation 2010 Journal of inequalities and applications Vol.2010 No.1
<P>We estimate Lyapunov inequalities for a single equation, a cycled system and a coupled system of one-dimensional p-Laplacian problems with weight functions having stronger singularities than L1.</P>
Sim, Inbo,Tanaka, Satoshi Cambridge University Press 2014 Proceedings. Section A, Mathematics Vol.144 No.1
<P>Employing the Kolodner-Coffman method, we show the exact multiplicity of positive solutions for the one-dimensional <I>p</I>-Laplacian that is subject to a Dirichlet boundary condition with a positive convex nonlinearity and an indefinite weight function.</P>