## 7 Results
Finally, by increasing the disconnected nodes, retransmissions and channel retries the energy consumption will increase. Otherwise, when a node is disconnected from the network some routes are canceled and new routes are created, when the node reconnects, the network enters a non-stable state, the time it takes to pass from non-stable state to a stable state is known as resilience. Therefore, the lower the resilience, the higher the energy consumption, since the network will take longer to configure and achieve new stable routes. This is directly related to the available routes, when this metric is low, there is a greater possibility of packet loss, which causes a greater number of retransmissions and finally energy consumption increases. Tables 2 and 3 show results of performance metrics to observe the behavior of the network under the cooperative and collaborative schemes. Samples were taken from the network running for 24 h. The tests are carried out during a weekday so that the number of users and the vehicular flow is that of a normal day with activity on campus. Metrics are an average obtained every hour by all the sensors that work under each technology. The tests are carried out in an area of 300 square meters with indoor and outdoor sensors. No battery change was made for any of the sensors. The maximum number of packet retransmissions is 3, before the packet is discarded. The maximum number of retries to listen to the channel is 5, before the packet is discarded. It is well known that cross traffic affects adversely the network parameters. Thus, the scenarios experimented in this work, in practical terms, the traffic is only related to sensor network and it is expected that variation tends to be small value. A slightly variation is observed during experimentation and it can be observed that is independent of protocol. The data of the metrics studied present a standard deviation between 1 and 1.3% for the four technologies presented in each performance metrics for the cooperative and collaborative schemes. This shows that the measurements taken over 24 h can reflect a similar behavior with a small variation in the morning hours, where the traffic of people and vehicles decreases remarkably. Specifically, Table 2 describes the results of the main performance metrics for the nodes under the cooperative scheme, i.e., when the technologies studied are in operation in the same geographical area and the priorities of the network are above the priorities of the sensor. The result of the metrics described is an average of the sensors that are under the wireless communication protocol. With respect to the end-to-end delay, ZigBee is the fastest due to its topology and message concentration. Subsequently, WiFi follows the speed of information delivery due to the greater sensitivity of the WiFi antenna and this gives an advantage, in addition to the fact that bandwidth is greater. On the other hand, the protocol with most retransmissions is WiFi, it is important to mention that a high retransmission rate increases delay and energy consumption. Additionally, retransmission as well as control packets contribute to the network overhead, being WiFi the protocol with the highest overhead,