Typos

Author: humitsec

README.md

@@ -7,13 +7,13 @@ The self-adaptive transmission power controller uses a double self-adaptive cont
 
 The goal for this transmission power controller is to enable each node deployed in a Wireless Sensor Network (WSN) to self-adapt their own transmission power autonomously, based just on the number of detected neighbors and their own battery levels. The rationale is that by reducing the transmission power while guaranteeing a minimum number of neighbors, the total energy consumption of the network can be reduced. Besides, the network error rate can also be improved because of the reduction of the chance of collisions in the coverage area for each node.
 
-This controller was validated in an open scenario, obtaining promising results. Indeed, on one of the cofigurations tried during the experiments we obtained an 11% improvement in the total energy consumption with respect to the use of a fixed transmission power. And with the same configuration, the packet delivery rate achieved a 99%.
+This controller was validated in an open scenario, obtaining promising results. Indeed, on one of the configurations tried during the experiments we obtained an 11% improvement in the total energy consumption with respect to the use of a fixed transmission power. And with the same configuration, the packet delivery rate achieved a 99%.
 
-Next figure shows the results for the total energy consumption for each of the experiments. Experiments _e01_ and _e02_  were control experiments using a fixed transmission power. As can be observed, the lowest total energy consumption was for experiment _e02_ (lowest fixed transmission power), closely followed by experiment _e05_ (using the self-adaptive transmission power controller). However, it is also important to take into account the network connectivity.
+The next figure shows the results for the total energy consumption for each of the experiments. Experiments _e01_ and _e02_  were control experiments using a fixed transmission power. As can be observed, the lowest total energy consumption was for experiment _e02_ (lowest fixed transmission power), closely followed by experiment _e05_ (using the self-adaptive transmission power controller). However, it is also important to take into account the network connectivity.
 
 ![image](https://user-images.githubusercontent.com/13553876/197354345-8ce67a72-4344-429b-b415-d0bbe9d444fc.png)
 
-Next figure shows the results for the packet delivery rate for each of the experiments. As can be observed, the best fixed transmission power concerning the total energy consumption (_e02_) had a very poor packet delivery rate, reaching around a 70% at the end of the experiment. However, experiment _e05_, the best for total energy consumption using the self-adaptive transmission power, was also the best regarding the packet delivery rate, with a final value over being 99%, and surpasing the packet delivery rate of experiment _e01_ (fixed maximum transmission power).
+The next figure shows the results for the packet delivery rate for each of the experiments. As can be observed, the best fixed transmission power concerning the total energy consumption (_e02_) had a very poor packet delivery rate, reaching around a 70% at the end of the experiment. However, experiment _e05_, the best for total energy consumption using the self-adaptive transmission power, was also the best regarding the packet delivery rate, with a final value over being 99%, and surpassing the packet delivery rate of experiment _e01_ (fixed maximum transmission power).
 
 ![image](https://user-images.githubusercontent.com/13553876/197354355-8024109c-4b9a-4502-825e-40c8b2212622.png)