Enhancement of Security and QoS in Wireless Medical Sensor Networks

Abstract

Wireless medical sensor networks (WMSN) collect the data of a patient’s vital body parameters using wearable or nonwearable biosensors. Since WMSN is wireless in nature there occur numerous issues like a false alarm, lack of robustness, and low processor speed, which reduce the system’s effectiveness. One of the major issues is the security and privacy protection of the collected data and providing a greater Quality of Service (QoS) for the network in terms of energy efficiency, standardization, etc. Targeting these problems, we introduced a hybrid secure and fuzzy fusion system to achieve efficient secure transmission and data fusion in WMSN. The basic idea of the proposed method is to generate a private key from specific features of the digital color image; the generated key is encrypted by the Advanced Encryption Standards (AES) mechanism. The proposed system handles the vague and imprecise data to reduce energy consumption and increases the network lifetime. The inference results verify the efficiency of the proposed method in terms of security and energy consumption of the network.