Abstract
Health is the hard reality time constrained domain. Queuing system, delay in treatment, difficult to treat rural people, disability to do remote treatment are the major issues in current healthcare. Internet of things (IoT) allows caring of people from remote locations. Processing of medical data efficiently is necessary to avoid severe effects. To improve efficiency multicore technology is included with IoT. In this paper, task level parallelism (TLP) is applied to process different health parameters in parallel. TLP exploits available resources in an optimal way. It makes our system as more efficient. The simulation result shows 89% resource utilisation and decreased load time as 0.35 milliseconds. Proposed system also reduces power consumption of the devices. This will increase the life time of the sensor network.
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