A Novel Approach for Health Monitoring System Using Wireless Sensor Network
Health care is very expensive for countries with large population. Recently, wireless sensor networks are used to structure health care in many applications. Wireless Body Area Network (WBAN) and remote health monitoring has minimized the cost and improved the health care monitoring of patients' vital signs at hospital or outside hospital environment. Many types of wireless sensors are used for monitoring patient's health status, including those that are attached to the patient's body such as heart rate sensor, blood pressure sensor, temperature sensor, and those used on bed (bed sensor). Sensors use a modern communication technology, such as Zigbee, to transmit patients’ health status parameters to the central monitor. We propose a novel approach for health monitoring system. The new approach depends on a smart health network, where patients are classified into a set of clusters, based on their health status. This approach helps manage communications between patients' sensors and the monitoring center, and reduce power consumption by allowing patients with critical health status to continually transmit their health parameters, and allowing patients with less critical and noncritical health status to partially transmit their health parameters. For the experiments, we used QualNet V5.2 simulator, using standard health parameters. Simulations results show that the proposed approach outperform the non-classified based health monitoring system in terms of reducing energy consumption in transmit mode by 30% and in receive mode by 30%. Also simulation results show an improvement of average Jitter by 13%, and an average end-to-end delay by 9.6%.
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B. Mandler, J. Barja, M. E. M. Campista, D. Cagáňová, H. Chaouchi, S. Zeadally, R. L. Vieriu, R. L, Internet of Things. IoT Infrastructures: Second International Summit, IoT 360° (Springer, 2015).
Y. Lim, G. Ferrari, H. Takahashi, M. Montón, Wireless Sensor Networks for Structural Health Monitoring (Springer, 2015).
K. Zhang, X. Liang, M. Baura, R. Lu, X. S. Shen, PHDA: A priority based health data aggregation with privacy preservation for cloud assisted WBANs. Information Sciences, Volume 284, 2014, Pages 108-118.
M. Elgendi, B. Eskofier, S. Dokos, D. Abbott, Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems, PloS one, Volume 9, Issue 1, 2014, Pages 1-18.
T. Bonnici, C. Orphanidou, D. Vallance, A. Darrell, L. Tarassenko, Testing of wearable monitors in a real-world hospital environment: what lessons can be learnt?, Ninth International Conference in Wearable and Implantable Body Sensor Networks, pp. 79-84, London, UK, May 2012.
M. S. Mahmoud, Y. Xia, Networked Filtering and Fusion in Wireless Sensor Networks (CRC Press, 2015).
S. Merilampi, A. Sirkka, K. Iniewski, Introduction to Smart eHealth and eCare Technologies (CRC Press, 2016).
H. Fariborzi, M. Moghavvemi, Architecture of a wireless sensor network for wital signs transmission in hospital setting, International Conference of Convergence Information Technology, pp. 745-749, Gyeongju, South Korea, November 2007.
Y. Liu, R. Sahandi, Zigbee network for remote patient monitoring on general hospital wards, International Symposium in Information, Communication and Automation Technologies, pp. 1-7, October, Bosnia, Serbia, 2009.
N. Benjamin, S. Sankaranarayanan, Performance of hierarchical agent based wireless sensor mesh network for patient health monitoring, World Congress on In Nature & Biologically Inspired Computing, pp. 1653-1656, Coimbatore, India, December 2009.
M. B. Yassein, M. Hamdan, H. A. Shehadeh, Performance evaluation of health monitoring network for elderly patient in home, Asian Journal of Mathematics and Computer Research, Volume 9, (Issue 2), 2016, Pages 108-118.
M. Hamdan, M. B. Yassein, H. A. Shehadeh, Multi-objective optimization modeling of interference in home health care sensors, In 11th International Conference on Innovations in Information Technology (IIT), Vol. 11, pp. 219-224, Dubai, UAE, November 2015.
M. J. H. Biddut, M. F. H. Arif, N. Islam, Queue management of RED enabled ZigBee network based on packet size variations and distribution techniques, International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 798-802, February, Cox's Bazar, Bangladesh, 2017.
M. J. H. Biddut, N. Islam, R. S. Sultana, A. Sarker, M. M. Rahman, A new approach of ZigBee MAC layer design based on security enhancement. International Conference on Telecommunications and Photonics (ICTP), pp. 1-5, Dhaka, Bangladesh, December 2015.
G. Shi, K. Li, Signal Interference in WiFi and ZigBee Networks, (Wireless Networks, 2016).
M. Hamdan, H.Shehadeh, Q. Obeidat, Multi-Objective optimization of electrocardiogram monitoring network for elderly patient in home, Int. J. Open Problems Compt. Math, Volume 8, (Issue 1), 2015, Pages 82-95.
Hussain, N. Pandeym, Carrier data security using public key steganography in ZigBee, International Conference on Innovation and Challenges in Cyber Security (ICICCS-INBUSH), pp. 213- 216, February, Noida, India, 2016.
S. Ghosh, Distributed Systems: an Algorithmic Approach (CRC press, 2014).
S. Lokavee, N. Watthanawisuth, J. Mensing, T. Kerdcharoen, Sensor pillow system: monitoring cardio-respiratory and posture movements during sleep, International Conference in Biomedical Engineering (BMEiCON), pp. 71-75, Chiang Mai, Thailand, January 2012.
S. Lokavee, T. Puntheeranurak, T. Kerdcharoen, N. Watthanwisuth, A. Tuantranont, A sensor pillow and bed sheet system: unconstrained monitoring of respiration rate and posture movements during sleep, International Conference in Systems, Man, and Cybernetics (SMC), pp. 1564-1568, Seoul, South Korea, October 2012.
iFutureLab Inc, FitSleep (pillow sensor), https://www.indiegogo.com/projects/fitsleep-our-tracker-is-your-personal-lullaby-sleep#/, accessed on 15/5/2017
Telehealthsensors, Bed sensor, http://www.telehealthsensors.com/products/adaptive-bed-sensor/, accessed on 15/5/2017
X. Liang, I. Balasingham, A QoS-Aware routing service framework for biomedical sensor networks, In 4th International Symposium on Wireless Communication Systems, ISWCS, pp. 342-345, Trondheim, Norway October 2007.
S. Agariya, R. Mehrotra, Performance evaluation of routing protocols in different wireless healthcare scenarios, In International Journal of Engineering Sciences & Emerging Technologies, Volume 6, (Issue 3), 2013, Pages 373-388.
El Abbassi, M., Jilbab, A., Bourouhou, A., A Robust Model of Multi-Sensor Data Fusion Applied in Wireless Sensor Networks for Fire Detection, (2016) International Review on Modelling and Simulations (IREMOS), 9 (3), pp. 173-180.
Mohammed, O., Hussin, B., Basari, A., Event Tracking Approach Using Overhearing in Wireless Sensor Networks, (2016) International Journal on Communications Antenna and Propagation (IRECAP), 6 (6), pp. 362-368.
Kandasamy, R., Krishnan, S., Enhanced Energy Efficient Method for WSN to Prevent Far-Zone, (2014) International Journal on Communications Antenna and Propagation (IRECAP), 4 (4), pp. 137-142.
Khedher, M., Liouane, H., Douik, A., XOR-Based Routing Protocol for Wireless Sensor Networks, (2015) International Journal on Communications Antenna and Propagation (IRECAP), 5 (2), pp. 70-77.
Rathan, K., Bandwidth Allocation in Wireless Mesh Network Using Efficient Path Selection Scheme, (2015) International Review on Computers and Software (IRECOS), 10 (6), pp. 545-551.
Khan, D., Alam, A., Talha, M., Kumar, P., Investigation of a Compact Ultrawide Band Antenna for Wearable Applications, (2014) International Journal on Communications Antenna and Propagation (IRECAP), 4 (4), pp. 124-129.
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