TY - GEN
T1 - A novel medical priority aware transmission mechanism for cognitive radio based hospital
AU - Mamoon, Ishtiak Al
AU - Islam, A. K.M.Muzahidul
AU - Baharun, Sabariah
AU - Komaki, Shozo
AU - Ahmed, Ashir
PY - 2017/2/8
Y1 - 2017/2/8
N2 - Due to rapid growth of wireless medical devices, in near future wireless healthcare services may face some inescapable issues such as medical spectrum scarcity, electromagnetic interference (EMI) to bio-medical devices, bandwidth constrain, security and finally medical data transmission reliability, etc. To mitigate these issues, cognitive radio needs to be utilized and fine-tuned the upcoming wireless healthcare service system. Contemporary research on cognitive radio driven healthcare has shown some improvement on trimming the EMI, spectrum scarcity and bandwidth issues. However, a visible research gap and very limited guidelines are observed on medical data transmission reliability in a Cognitive Radio (CR) based healthcare. Thus this research designs an intelligent dynamic priority enabled queuing management based hospital traffic transmission mechanism for a previously proposed CR enabled hospital named CogMed. An equation is formulated to compute weight of a hospital traffic considering hospital location and priority of its device. The proposed priority mechanism intelligently determines the critical level of hospital data and decreases the rate of packet drop. Simulation results show that the critical emergency medical traffic obligates very low drop rate (1.56%), queuing time and network delay compared to other medical devices. The proposed system outperforms some the other traditional established methods for wireless data transmission system.
AB - Due to rapid growth of wireless medical devices, in near future wireless healthcare services may face some inescapable issues such as medical spectrum scarcity, electromagnetic interference (EMI) to bio-medical devices, bandwidth constrain, security and finally medical data transmission reliability, etc. To mitigate these issues, cognitive radio needs to be utilized and fine-tuned the upcoming wireless healthcare service system. Contemporary research on cognitive radio driven healthcare has shown some improvement on trimming the EMI, spectrum scarcity and bandwidth issues. However, a visible research gap and very limited guidelines are observed on medical data transmission reliability in a Cognitive Radio (CR) based healthcare. Thus this research designs an intelligent dynamic priority enabled queuing management based hospital traffic transmission mechanism for a previously proposed CR enabled hospital named CogMed. An equation is formulated to compute weight of a hospital traffic considering hospital location and priority of its device. The proposed priority mechanism intelligently determines the critical level of hospital data and decreases the rate of packet drop. Simulation results show that the critical emergency medical traffic obligates very low drop rate (1.56%), queuing time and network delay compared to other medical devices. The proposed system outperforms some the other traditional established methods for wireless data transmission system.
UR - http://www.scopus.com/inward/record.url?scp=85015442297&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015442297&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2016.7848019
DO - 10.1109/TENCON.2016.7848019
M3 - Conference contribution
AN - SCOPUS:85015442297
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 350
EP - 353
BT - Proceedings of the 2016 IEEE Region 10 Conference, TENCON 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Region 10 Conference, TENCON 2016
Y2 - 22 November 2016 through 25 November 2016
ER -