A wireless sensor network (WSN) is a kind of network that contains nodes communicating wireless. It has sensors that allow to obtain information directly from the environment in order to learn or act on it.

Since the use of this wireless networks is growing, it appears the need of creating cognitive networks which are able to learn from the environment and adapt themselves efficiently.

The B105 Electronic Systems Lab research group developed a test-bench containing some nodes called ‘cognitive New Generation Device (cNGD)’. Currently, each of them is programmed by connecting it physically to a computer. However, this situation produces a lot of problems, like the required time to perform the node programming or the necessity of reprogramming a node that is out of reach. This is the main reason why a wireless programming method becomes very handy.

The aim of this project is to improve the already available Bootloader getting a better reception and to manage the available random access memory. For this purpose, a Wake On Radio (WOR) board was used to wake up a specific cNGD node and then work on this node independently. However, some modifications were required due to hardware and software limitations. Even though the node has three transceivers on ISM (Industrial, scientist and medical) free bands, it was used the 434 MHz band for the WOR and the 2.45GHz band for the Bootloader due to its speed.

In addition, an graphical interface was implemented for the test-bench in order to see the status of the cNGD nodes, the code transmission and the connection processes. It also has another tab for the choice of the cNGD nodes to wake up and reprogram. This interface is a web application with the server side implemented with the Python programming language, so we can reach it only with an internet connection.

Finally, some tests were run to verify the expected behavior of the test-bench. These test are documented at the end of the memoir.

The communication among a high number of electronic devices creates several troubles. The most common being: latency, data errors and high development cost. This lead to the creation of device networks, which objective is to link many devices using as few conductors as possible. This new network should fulfill some requirements such as; efficiency, low cost, and robustness. The need of satisfying such requirements gave place to the construction of the bus of communication. Generally, the automotive industry uses CAN (Controller Area Network), LIN (Local Interconnected network) and FlexRay buses to connect their devices. Each of them are used for a specific application inside of the automobile. The efficient performance of this buses has allowed different industries to incorporate them to their systems. Nowadays CAN and LIN are used in domotic systems, medical equipment, automatization factories, navy electronic, industrial machines control, among others. Moreover, many projects are development in the B105 Electronic Systems Lab where it is necessary to link different actuators and sensors because of this, it has been decided to implement a LIN network.

The Project was composed of a master node and two slaves nodes that interact with each other. The discovery kit STM32F411E DISCO was used to implement the master and the slave node. Finally, the other devices the discovery kit STM32F411E DISCO possess like the diodes led (actuators) and the accelerometers (sensors) were used for the working demonstration.

A Wireless Sensor Network or WSN is a set of stand-alone devices that communicate with each other wirelessly. These networks consist of devices with low resources and wireless connectivity and are able to monitor different parameters.

Wireless sensor networks are intended for a multitude of environments, whether at an environmental (temperature, humidity), industrial or private (home automation, remote control) level.

The main objective of this project is to locate by means of a WSN to the members of laboratory. This information will be captured through small wireless devices made during this project. This information will be valuable both to know the availability and presence of the members of the laboratory and to optimize other systems such as lighting, air conditioning or common workstations.

The B105 Electronic Systems Lab has an intelligent environment that monitors different environmental aspects such as temperature, luminosity, humidity, etc. In this project it is proposed to develop the hardware and software necessary to detect the position of the members of the laboratory. In this way, each person will carry a device that sends the necessary information to the nodes of the network to position that person. Considerations such as low consumption, communications and data processing will be taken into account. The designed device is shown in the following image.