In this work we developed an IWSN for remote monitoring and remote data acquisition. The developed IWSN is a modern and trendy system that suits the actual trends in the automation industry which tends to implement remote monitoring and control systems for industrial networks based on the IP protocol. Thus, allowing the monitoring platform to be in the cloud and consequently to be able to monitor sensors distributed across the world. The implemented system uses temperature sensors based on the fact that this kind of sensor is highly implemented in industrial environments. It is important to note that their performance depends on the selection of the sensors according to the temperatures process to be measure.

For instance, it is possible to say that the thermocouples has a main advantage over the thermistors because of their measure range, the output accuracy and the stability in the measurement. In the same way, the thermistor presents a high advantage in the sensibility to temperature changes. Thus, they are very suitable for situations where the measurement range is small and the response time is short. Oppositely, the temperature sensor based on integrated circuits are not commonly used in industrial applications but their size is perfect to be used in electronic circuits. The wireless technology is implemented for sending the data gathered by the sensors.

This is because recently the industrial networks are implementing this technology with wireless protocols such as WiFi or Zigbee in order to be able to control and monitor places with difficult access and to avoid complex wired installations. In the same way, the wireless technology presents some disadvantages such as the possibility to introduce information or packet in the middle of the communication. This is because these technologies uses the range of free frequencies. Additionally, because everybody is allowed to use this frequency ranges there will be a great electromagnetic interference which can affect the communication quality and produce possible loss of information.