Le Huy Nguyen

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Ad hoc networks consist of wireless hosts that communicate with each other in the absence of a fixed infrastructure. Such networks cannot rely on centralized and organized network management. The clustering problem consists of partitioning network nodes into non-overlapping groups called clusters. Clusters give a hierarchical organization to the network(More)
Ad hoc networks consist of wireless hosts that communicate with each other in the absence of a fixed infrastructure. Such network cannot rely on centralized and organized network management. The clustering problem consists in partitioning network nodes into groups called clusters, thus giving at the network a hierarchical organization. A self-stabilizing(More)
Clustering means partitioning nodes into groups called clusters, providing the network with a hierarchical organization. A self-stabilizing protocol, regardless of the initial system state, automatically converges to a set of states that satisfy the problem specification without external intervention. Due to this property, self-stabilizing protocols are(More)
We present an optimal uncertainty quantification (OUQ) protocol for systems that are characterized by an existing physics-based model and for which only legacy data is available, i.e., no additional experimental testing of the system is possible. Specifically, the OUQ strategy developed in this work consists of using the legacy data to establish, in a(More)
Ad hoc sensor networks consist of large number of wireless sensors that communicate with each other in the absence of a xed infrastructure. Fast self-recon guration and power e ciency are very important property on any sensor network management. The clustering problem consists in partitioning network nodes into groups called clusters, thus giving at the(More)
The prediction of performance in CDN (Content Delivery Network) used to improve the technology development. The proposed analysis used how to design a network according to the applications of CDN network experiments with different workloads. This paper shows the variations of any parameter must affect the performance of content delivery network. The Average(More)
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