Performance Analysis of Zigbee Based Wireless Sensor Network for Remote Patient Monitoring

Constant monitoring of patient's health is essential to provide appropriate healthcare. With advances in electronic circuit miniaturization and micro-electromechanical systems (MEMS), wearable sensor nodes can be used to acquire physiological signals from patient's body and transmit them to a remote location which can be accessed by the doctors. Wireless Sensor Networks (WSNs) are becoming an integral part of healthcare systems, as they can overcome the need for patients to be stationary while their vital parameters are being checked. In this paper we have studied and analyzed the effect of variation in senor node density, communication duration and data transmission rate on network performance in terms of Packet Delivery Ratio (PDR), throughput, average network delay and energy consumed. Simulations are carried out using ns2.34. Obtained network performance is analyzed in comparison with the required performance of various physiological signals used for patient health monitoring. Accomplished results provide direction to choose appropriate node density, data transmission rate and communication duration for required performance while establishing Zigbee sensor based patient monitoring system in practical.

[1]  Gang Zhou,et al.  Achieving Real-Time Target Tracking UsingWireless Sensor Networks , 2006, 12th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'06).

[2]  Yu-Wei Su,et al.  A Comparative Study of Wireless Protocols: Bluetooth, UWB, ZigBee, and Wi-Fi , 2007, IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society.

[3]  Yacine Challal,et al.  Wireless sensor networks for rehabilitation applications: Challenges and opportunities , 2013, J. Netw. Comput. Appl..

[4]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[5]  Sumeet Gupta,et al.  Wireless Sensor Network Based Industrial Monitoring & Diagnostic System , 2009, 2009 First International Conference on Computational Intelligence, Communication Systems and Networks.

[6]  Stefano Chessa,et al.  Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards , 2007, Comput. Commun..

[7]  Upkar Varshney,et al.  Managing Wireless Health Monitoring for Patients with Disabilities , 2006, IT Professional.

[8]  Nada Golmie,et al.  Prevailing over wires in healthcare environments: benefits and challenges , 2006, IEEE Communications Magazine.

[9]  Sweta Sneha,et al.  Patient monitoring using ad hoc wireless networks: reliability and power management , 2006, IEEE Communications Magazine.

[10]  P. Johansson,et al.  ZigBee Sensor Network for Patient Localization and Air Temperature Monitoring During Emergency Response to Crisis , 2008, 2008 Second International Conference on Sensor Technologies and Applications (sensorcomm 2008).

[11]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[12]  Rajashekhar C. Biradar,et al.  A survey on routing protocols in Wireless Sensor Networks , 2012, 2012 18th IEEE International Conference on Networks (ICON).

[13]  Robert S. H. Istepanian,et al.  Optimal zonal wavelet-based ECG data compression for a mobile telecardiology system , 2000, IEEE Transactions on Information Technology in Biomedicine.

[14]  Pallikonda Rajasekaran Murugan,et al.  Sensor grid applications in patient monitoring , 2010, Future Gener. Comput. Syst..

[15]  E. Jovanov,et al.  Prolonged telemetric monitoring of heart rate variability using wireless intelligent sensors and a mobile gateway , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[16]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[17]  Chia-Tai Chan,et al.  A Reliable Transmission Protocol for ZigBee-Based Wireless Patient Monitoring , 2012, IEEE Transactions on Information Technology in Biomedicine.

[18]  G. Platt,et al.  Distributed wireless sensor networks and industrial control systems - a new partnership , 2005, The Second IEEE Workshop on Embedded Networked Sensors, 2005. EmNetS-II..

[19]  Elif Uysal-Biyikoglu,et al.  Energy-efficient scheduling of packet transmissions over wireless networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[20]  Sumeet Gupta,et al.  Intelligent Industrial Data Acquisition and Energy Monitoring using Wireless Sensor Networks , 2010, Int. J. Grid High Perform. Comput..

[21]  Jamil Y. Khan,et al.  Performance evaluation of a Wireless Body Area sensor network for remote patient monitoring , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[22]  Emil Jovanov,et al.  Issues in wearable computing for medical monitoring applications: a case study of a wearable ECG monitoring device , 2000, Digest of Papers. Fourth International Symposium on Wearable Computers.

[23]  MengChu Zhou,et al.  Performance analysis of ZigBee-based body sensor networks , 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

[24]  Di Tian,et al.  A node scheduling scheme for energy conservation in large wireless sensor networks , 2003, Wirel. Commun. Mob. Comput..

[25]  Saeid Nahavandi,et al.  Sensor Node Activity Scheduling Approach , 2007, 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07).

[26]  Robert S. H. Istepanian,et al.  The mobile patient: wireless distributed sensor networks for patient monitoring and care , 2000, Proceedings 2000 IEEE EMBS International Conference on Information Technology Applications in Biomedicine. ITAB-ITIS 2000. Joint Meeting Third IEEE EMBS International Conference on Information Technol.

[27]  Upkar Varshney.  Improving Wireless Health Monitoring Using Incentive-Based Router Cooperation , 2008, Computer.