GRAPH KERNEL BASED CLUSTERING ALGORITHM IN MANETS

Graph Kernel Based Clustering Algorithm in MANETs

The mobile ad hoc network (MANET) is a kind of dynamic, easy to construct and universal network, which has been widely concerned by a large number of researchers.Graph theory provides an effective theoretical tool for MANETs modeling and analysis.Clustering is one of the most effective methods to measure network performance with different attribute

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IR finite S-matrix by gauge invariant dressed states

Abstract Dressed states were proposed to define the infrared (IR) finite S-matrix in QED or gravity.We show that the original Kulish-Faddeev dressed states are not enough to cure ribavirin coupon the IR divergences.To illustrate this problem, we consider QED with background currents (Wilson lines).This theory is exactly solvable but shares the same

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