# Brain-Inspired Data Transmission in Dense Wireless Network
## 5 Bio-Inspired Wireless Network Reliability--Analysis by Means of Computer Experiment
* Scenario III: Both neuron- and astrocyte-nodes are deployed. * Scenario IV (the complete scenario): All kinds of nodes are deployed (i.e., neuron-nodes, microglia-nodes, and astrocyte-nodes). As above, neuron-nodes and microglia-nodes are deployed uniformly over a certain geographical areas, where the number of microglia-nodes constitutes 10% of neuron-nodes. If astrocyte-nodes are applied, we assume the presence of one, centrally deployed astrocyte-node in the considered area. Moreover, in our experiments, we assume that a certain level of reliability has to be achieved, and we observed its cost in all scenarios. The structure of the simulator was prepared in such a way that it operates in a slotted mode, mainly the time is split into equal time slots (called iterations). During one iteration, one message may be sent and received by each node. The analysis of the simulation results was carried out in two ways. First, the delay in delivering packets, expressed as the difference between the iteration number in which the message was sent and the iteration number in which the message reached its destination, was analyzed. Second, the analysis of the energy consumption was expressed by the sum of the transmission power in subsequent iterations. In the simplified transmission model, we treat transmitting power as the only component of the consumed power, because it is the largest part of the consumed power in such systems. In Figure 7, the distribution of the delivery confirmation delay is plotted for the four scenarios. One may observe that inclusion of either microglia- or astrocyte-nodes improves in some ranges the performance when compared with the reference scenario (black line). For example, in Scenario II, there are more situations where very small delivery delays are present. At the same time, the addition of astrocyte-node improves the overall performance significantly. The best results are achieved in general in Scenario III. However, these results cannot be analyzed without association with the overall energy consumption, as shown in Figure 8. Here, one may observe that to some extent Scenarios II-IV are better than the reference one, where only neuron-nodes are considered. However, the most important conclusion is on network reliability when applying the highly simplified transmission procedures. This analysis has to be done for some specific assumptions; for example, one may request that the maximum allowed delay in the considered networks is less than 100 hops (iterations) or that the total consumed energy during packet transmission is below 100 energy units. Having such constraints allows us to \"slice\" vertically the results shown in Figures 7 and 8. For example, if only 100 energy units are allowed, then Scenarios II and III provide the best results. Moreover, for highly stringent scenarios, where, e.g., only 50 hops are allowed, then the reference scenario seems to be the best. It proves that the simplified transmission scenario allows the achievement of a certain reliability level.