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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 10, 2018.
Abstract: In medical body area network (MBAN) sensors are attached to a patient’s body for continuous and real-time monitoring of biomedical vital signs. Sensors send patient’s data to hospital base station so that doctors/caregivers can access it and be timely informed if patient’s condition goes critical. These tiny sensors have low data rates, small transmission ranges, limited battery power and processing capabilities. Ensuring reliability in MBAN is important due to the critical nature of patient’s data because any wrong/missing/delayed data can create a situation in which doctors may take wrong decisions about patient’s health which can have fatal results. Data transmission reliability in MBAN can be ensured by retransmissions, acknowledgments or guaranteed time slot mechanism but it causes more power consumption. We propose an efficient MAC mechanism to achieve both reliability and energy efficiency at an acceptable trade-off level. The proposed MAC mechanism not only overcomes the limitations of ZigBee MAC mechanism such as inefficient CSMA/CA and underutilization of guaranteed time slots, but also adapts for different traffic types such as emergency and normal traffic. Our results show that application level throughput and packet delivery ratio increase and packet loss decreases. We also optimize energy utilization by tuning macMaxCSMABackoffs and macMinBE parameters of ZigBee MAC mechanism.
Madiha Fatima, Adeel Baig and Irfan Uddin, “Reliable and Energy Efficient MAC Mechanism for Patient Monitoring in Hospitals ” International Journal of Advanced Computer Science and Applications(IJACSA), 9(10), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091064
@article{Fatima2018,
title = {Reliable and Energy Efficient MAC Mechanism for Patient Monitoring in Hospitals },
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091064},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091064},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {10},
author = {Madiha Fatima and Adeel Baig and Irfan Uddin}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.