Abstract
Wireless body sensor network (WBSN) provides a sophisticated monitoring environment without disturbing the daily subject activity. The WBSN increases the mobility of the subject without being restricted inside the hospital environment. However, resources like limited power and transceiver capability limit the movement of the subject. Providing an energy-efficient scheme will provide extended network lifetime and limits the frequency of recharging the battery. This subject condition modelled as a Markov model with normal and abnormal states. The transition from the normal state to abnormal state is predicted through Markov process. The sensor nodes monitoring the subject status remade to sleep state during the reasonable condition, and during the abnormal state, all the nodes awakened. This sleep–wake methodology with priority queuing model is studied in this paper and implemented in MATLAB. The priority queuing model provides a novel solution for time-critical applications. The proposed TCEM-PQM provides reduced time delay when compared to PQM routing protocol. The time delay reduced for critical applications and the policy suits monitoring environment and healthcare applications. The proposed model is simulated with Markov model.
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Thirumoorthy, P., Kalyanasundaram, P., Maheswar, R. et al. Time-critical energy minimization protocol using PQM (TCEM-PQM) for wireless body sensor network. J Supercomput 76, 5862–5872 (2020). https://doi.org/10.1007/s11227-019-03042-x
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DOI: https://doi.org/10.1007/s11227-019-03042-x