Fault Aware Trust Determination Algorithm for Wireless Body Sensor Network (WBSN)

The design of a fault tolerant and eminent Wireless Body Sensor Network (WBSN) has become very necessary since Wireless Sensor Network (WSN) serves as a leading solution to all sorts of monitoring and surveillance problems. The Body Sensor Network (BSN) has reduced the occupancy of patients in the hospital. The sophistication and remote monitoring of BSN make the system more vulnerable to attacks and faults. Designing a trusted fault tolerant system is mandatory to meet these issues. A Fault Aware Trust Determination (FATD) algorithm for WBSN is proposed in this paper. The trust of the node is identified based on the battery terminal voltage, receiver signal strength, and speed of movement of the node. A value is assigned for each node in the range of −1 to 1 called trust value, to rate the trustworthiness. This trust value of the node is assigned as per the trustworthy algorithm. The Hierarchical Hidden Markov Model (HHMM) predicts the transition between states and the packet classifier classifies the packet and communicates it to the sink through a high trusted path. The simulation results show that the proposed Fail Aware Trust determination algorithm outperforms the existing LEACH and QPRR protocols in terms of lifetime and throughput.