Markov Chain Based QoS Support for Wireless Body Area Network Communication in Health Monitoring Services
Wireless Body Area Networks (WBANs) are essential for real-time health monitoring of patients and in diagnosing of many diseases. WBANs comprise many sensors to monitor a large range of ambient conditions. Quality of Service (QoS) is a key challenge in WBAN, because the different state information of the neighboring nodes has to be monitored in an accurate manner. However, energy consumption gets increased while predicting and maintaining the exact information in highly dynamic environments. In order to reduce energy consumption and end to end delay, Markov Chain Based Quality of Service Support (MC-QoSS) method is designed in the health monitoring services of WBAN communication. The energy consumption gets reduced by forming a Markov chain with high energy nodes in the sensor networks communication path. The low energy level sensor nodes are removed using transitional probability in order to reduce end to end delay. High energy nodes are formed in the chain structure of its corresponding path to enhance communication. After choosing the communication path through high energy nodes, the packets are sent to the sink node from the source node with a higher Packet Delivery Ratio. The simulation result shows that MC-QoSS method improves the packet delivery ratio and reduces energy consumption with minimum end to end delay, compared to existing methods.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1128133Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 863
 Muhammad Babar Rasheed, Nadeem Javaid, Muhammad Imran, Zahoor Ali Khan, Umar Qasim, Athanasios Vasilakos, “Delay and energy consumption analysis of priority guaranteed MAC protocol for wireless body area networks”, Springer, Wireless Networks, December 2015, Pages 1-18.
 S. Ahmed, N. Javaid, S. Yousaf, A. Ahmad, M.M. Sandhu , M. Imran, Z.A. Khan, N. Alrajeh, “Co-LAEEBA: Cooperative link aware and energy efficient protocol for wireless body area networks”, Computers in Human Behavior, Elsevier, Volume 51, October 2015, Pages 1205–1215.
 Nadeem Javaid, Ashfaq Ahmad, Qaisar Nadeem, Muhammad Imran, Noman Haider, “iM-SIMPLE: iMproved stable increased-throughput multi-hop link efficient routing protocol for Wireless Body Area Networks”, Computers in Human Behavior, Elsevier, Volume 51, October 2015, Pages 1003–1011.
 Xuedong Liang, Ilangko Balasingham, “A QoS-aware Routing Service Framework for Biomedical Sensor Networks”, International Symposium on Wireless Communication Systems, October 2007, Pages 342 – 345.
 Long Hu Yin Zhang Dakui Feng Mohammad Mehedi Hassan Abdulhameedlelaiwi, Atif Alamri, “Design of QoS-Aware Multi-Level MAC-Layer forWireless Body Area Network”, Journal of Medical Systems, Springer, December 2015, Pages 1-11.
 Lamia Chaari, Lotfi Kamoun, “QoS Concepts and Architecture Over Wireless Body Area Networks for Healthcare Applications”, International Journal of E-Health and Medical Communications, December 2011, Pages 50-51.
 Jocelyne Elias and Ahmed Mehaoua, “Energy-aware Topology Design for Wireless Body Area Networks”, IEEE International Conference on Communications (ICC), June 2012, Pages 3409-3413.
 Norbert Varga, Laszlo Bokor, AndrasTakacs, “Context-aware IPv6 Flow Mobility for Multi-Sensor based Mobile Patient Monitoring and Tele-consultation”, Elsevier, Procedia Computer Science 40, January 2014, Pages 222 – 229.
 Nourchene Bradai, Lamia Chaari Fourati, Lotfi Kamoun, “Investigation and performance analysis of MAC protocols for WBAN networks”, Journal of Network and Computer Applications, Elsevier, Volume 46, November 2014, Pages 362–373.
 Shah Murtaza Rashid Al Masud, “QoS Taxonomy towards Wireless Body Area Network Solutions”, International journal of Application or Innovation in engineering Management, Volume 2, Issue 4, April 2013, Pages 221-234.
 Arash Maskooki, Cheong Boon Soh, Erry Gunawan, Kay Soon Low, “Adaptive Routing for Dynamic On-Body Wireless Sensor Networks”, IEEE Journal of Biomedical and Health Informatics, Volume 19, Issue 2, March 2015, Pages 549 – 558.
 Aftab Ali, Nur Al Hasan Haldar, Farrukh Aslam Khan, Sana Ullah, “ECG Arrhythmia Classification Using Mahalanobis-Taguchi System in a Body Area Network Environment”, IEEE Global Communications Conference (GLOBECOM), May 2015.
 Thirumoorthy Palanisamy, Karthikeyan N. Krishnasamy, “Bayes Node Energy Polynomial Distribution to Improve Routing in Wireless Sensor Network”, PLoS ONE, Volume 10, Issue 10, October 2015, Pages 1-15.
 John Paul Varkey, Dario Pompili and Theodore A. Walls, “Human motion recognition using a wireless sensor-based wearable system”, Personal and Ubiquitous Computing, Springer, Volume 16, Issue 7, October 2012, Pages 897–910.
 Baozhi Chen and Dario Pompili, “Transmission of Patient Vital Signs using Wireless Body Area Networks”, Mobile Networks and Applications, Springer, Volume 16, Issue 6, December 2011, Pages 663–682.
 Mohammad Abdur Razzaque, Saeideh S. Javadi, Yahaya Coulibaly and Muta Tah Hira, “QoS-Aware Error Recovery in Wireless Body Sensor Networks using Adaptive Network Coding”, Sensors, January 2015, Pages 440–464.
 Yangzhe Liao, Mark S. Leeson, Matthew D. Higgins and Chenyao Bai, “Analysis of In-to-Out Wireless Body Area Network Systems: Towards QoS-Aware Health Internet of Things Applications”, Electronics, July 2016, Pages 1-26.
 Samaneh Movassaghi, Mehran Abolhasan, Justin Lipman, David Smith, and Abbas Jamalipour, “Wireless Body Area Networks: A Survey”, IEEE Communications Surveys & Tutorials, Volume16, Issue 3, 2014, Pages 1658-1686.
 Zhangyu Guan, G. Enrico Santagati, and Tommaso Melodia, “Distributed Algorithms for Joint Channel Access and Rate Control in Ultrasonic Intra-Body Networks”, IEEE/ACM Transactions on Networking, Volume PP, Issue 99, June 2016, Pages 1-1.
 Emrecan Demirors, Giovanni Albay, G. Enrico Santagati, Tommaso Melodia, “High Data Rate Ultrasonic Communications for Wireless Intra-Body Networks”, IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), 2016.