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This span d(v) plus the node ID is sent to all nodes within a distance equal to 2 around u Each neighbor computes the maximum and forwards it one more step With this information, every node can determine whether it is a candidate or not In the third step, called the selection step, a node u calculates its support s(u), which is the number of candidates that cover u The node u sends its s(u) to the candidates in its N(u) Each node v adds itself to the dominating set lexicographically higher than that of any node within its 2-hop neighbors. 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Generating USS Code 39 In .NET Framework Using Barcode creation for .NET Control .Related: Word EAN 128 Generating , Create Codabar Excel , EAN-8 Generator .NET One drawback of this approach for WSN is that once a node and it neighbors are covered, the node does not participate further in the cluster formation process, which will cause a higher rate of energy consumption in the node if it is a CH, leading it to its death because of battery depletion 734 Combined and Additional Approaches In this section we present some other clustering mechanisms that combine some of the previously explained approaches and therefore cannot be classi ed in only one of the categories We include the Zonal Algorithm, the Max-Min D-Cluster formation, and the Topology Adaptive Spatial Clustering algorithm (TASC) The Zonal Algorithm proposed in reference 26 aims to nd weakly connected dominating sets in the network The algorithm consist of three phases: (1) An input graph representing the network is partitioned into regions of approximately size x. 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