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We observe that a same rule set can induce very different memory requirement, as well as varying classification performance, when using various well known decision tree based packet classification algorithms. Worse, two similar rule sets, in terms of types and number of rules, can give rise to widely differing performance behaviour for a same classification algorithms. We identify the intrinsic characteristics...
Research on coverage of wireless sensor networks are mostly aiming at isomorphic nodes, however, which gives little attention on heterogeneous nodes. There haven't been effective solutions up to now. Adopting Probability Coverage Model is more efficient relatively, which can obtain more accurate data. By means of computing the coverage probability of each node, we infer the coverage probability of...
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