จากโครงสร้างคลัสเตอร์ทรีทอพอโลยี (C

From the cluster structure tree topology (topology tree – uniform Custer) N = 2, H = 3 number of nodes affects only 14 nodes on the network, it was found that the method of estimating the probability of both methods have similar values. A mathematical model analysis and simulation, where X = 14 with a probability equal to the X, and 0.37 = 0.3663 11 there is an equal probability that X = 0.095 0.1384 and 7 with probability 0.1 and 2 X = 0.051 and there is very little probability, respectively. The result, both gives the probability that the number of access to information is at the sink node according to the trend is the same, and to evaluate the probability that there is a consistent. As shown in Figure 10. So, from the results to explain the phenomenon of traffic within the network (Deterministic), with a large structure with simulation (Simulation), to be used as a tool in the design of network architecture suitable, such as size, spacing the nodes in the cluster networks and trend of data collected when they are modified. For example, to extend the network to the larger N = 3, H = 3 womnai number of network nodes is equal to 39 node, we can calculate the probability of data fragmentation by means of simulation. (Simulation).

From the cluster tree topology (Custer tree - uniform topology) where N = 2, H = 3 nodes of a network of 14 nodes found a way to estimate the probability that the two methods were similar. Well, both mathematical analysis and simulation model where X = 14 with probability equal to 0.3663, and 0.37 at X = 11, with the probability of 0.1384 and 0.095 at X = 7 with probability 0.1. 0.051 and X = 2 is the probability that a little more, respectively, due both to see the probability that the amount of data to be received at the sink node follows the trends are the same and to assess the probability. It is consistent As shown in Figure 10
Therefore, the result has led to the phenomenon of data transfer within the network. (Deterministic) a large structure with the simulation (Simulation) to be used as a tool in designing the architecture of the network, such as a cluster spacing of the nodes in the network. And trends in the data collected on the restructuring. Etc.
Examples of network expansion to a larger N = 3, H = 3, with the number of nodes in a network of 39 nodes, we can calculate the probability of the distribution of information through the simulation. (Simulation).

The structure of cluster tree topology (Custer tree - uniform topology), N = 2H = number of nodes 3 include network of 14 node. Found that the method to estimate the probabilities of both methods are similar, and both mathematical analysis simulation model by. X = 14 the probability of 0.3663, and 0.37 that X = 11 the probability of 0.1384 0.095 and that X = 7 the probability and 0.1 0.051 and X = 2 worth very little probability, respectively. Results from both see the probability is a number of data obtained at sink. Node follow the trend too and the assessment of the probability that consistency.10
.So the results led to the description of the phenomenon of traffic within the network (Deterministic). With large structures by means of simulation (Simulation).Such as the size cluster distance of nodes in the network. And the trend of the data when there is structural adjustment, etc.!For example to expand the network is large. N =, = 3 3 H were included in the network nodes of 39 node. We can calculate the probability of the distribution of the data with the simulated situations (Simulation).