Enhancement of Security and Fusion Techniques in Wireless Medical Sensor Network

Nowadays, wireless medical sensor networks (WMSNs) play a major role in the e-healthcare industry. The medical sensors sense the patient's physiological parameters, which contain sensitive information. There is a wide range of threats and resource constraints encountered in WMSN. Many techniques such as cryptography, Machine Learning, artificial intelligence, and data mining have been implemented to overcome those issues. However, the privacy of health data and providing a greater Quality of Service (QoS) in terms of energy consumption could be major unresolved issues. To resolve this, we have surveyed in detail the issues and the existing solutions. Though the solutions were good enough in providing better accuracy and reliability, security, and energy consumption are the major concerns to be brought up in an effective system. We formulated a table containing various experimental results that could demonstrate the efficiency of the existing methods in terms of security and QoS in the network.