Improve Performance of FLASE Alarm Detection by using CFAR and Low Pass Filter

Cyber –Physical System (CPS) is an integration of physical systems with computation, communication and controlling. CPS has various applications such as power networks, transportation networks, healthcare applications, infrastructures and industrial process. CPS connects the virtual world with the physical world. Wireless Sensor Networks (WSN) are the vital part of CPS because they have the strong sensing capabilities. In CPS healthcare application various sensors are used to collect the data from patients. Many times these sensors generate a large number of false alarms. Due to these false alarms confusion is created and it reduces the efficiency of overall healthcare services. There are still a lot of challenges in healthcare such as intoperability, security and privacy, autonomy and device verifiability. In this paper, we improve the performance of false alarm detection by using CFAR (constant false alarm rate) and the low pass filter. Thus we are using low pass filter here because our actual values will be present in the lower frequency region. The noise has higher frequency thus we tend to remove them by using a low pass filter.