Fail Safe Fault Tolerant Mechanism for Wireless Body Sensor Network (WBSN)

Loss in communication due to lack of power is to be avoided in Wireless Body Sensor Network (WBSN). Fault tolerant strategy adapts scheduling of sensors and choosing a fault tolerant path caused by fault due to lack of energy in the network. The Fail Safe Fault Tolerant (FSFT) serves as a solution to HOT SPOT in the WBSN. The lifetime enhancement of FSFT is made possible by classifying the data packets based on the state of the subject, scheduling the sensors connected to Human body and based on the residual energy of the node. Markovian model helps in prediction the state of the subject and scheduling the wearable body sensors. Simulation results shows that the proposed algorithm increases the lifetime of the network approximately 40 % and increases the throughput of the network by 120 %. FSFT decreases the HOT SPOT and Energy Hole problem providing a fail safe mechanism to the system.

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