This paper formulates a model for assessing the probability of collection of the information given by the degree of WSNs cluster tree topology.
Based on the format of a MAC IEEE 802.15.4 nodes, the probability of a successful ps to extend to activities of a successful cluster P (x = k) and node xxx P (X ≥ k), respectively.
There are a number of examples that demonstrate the usefulness of our proposed model on the likeliness of the collection is complete.
Therefore, we examined the model probabilistic Analyze and improve the reliability of the transmission of xxx WSNs a node size combinations (Ntotal) = node 100, the study is the appearance of another network of very qualified classifier typologies consistent differences in the number of children hung on. Each kit includes a cluster node (Ntotal) numbers increase.
The model can be adapted to each node in the cluster to collect data that will be evaluated by a probability distribution function of the following: a probability density distribution Logistic inverse cumulative distribution. Survivors and function that displays a high contrast Shepherd node xxx success.
This document contributes to development probabilistic Performance analysis that WSNs are composed of a collection and reliability of data transmission to the monitoring activities a higher percentage of success rate. And is ideal for applications or network will be able to find the maximum confidence that percentile.