{"title":"Markov Chain Based QoS Support for Wireless Body Area Network Communication in Health Monitoring Services","authors":"R. A. Isabel, E. Baburaj","volume":118,"journal":"International Journal of Computer and Information Engineering","pagesStart":1900,"pagesEnd":1906,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10006061","abstract":"
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.<\/p>\r\n","references":"[1]\tMuhammad Babar Rasheed, Nadeem Javaid, Muhammad Imran, Zahoor Ali Khan, Umar Qasim, Athanasios Vasilakos, \u201cDelay and energy consumption analysis of priority guaranteed MAC protocol for wireless body area networks\u201d, Springer, Wireless Networks, December 2015, Pages 1-18.\r\n[2]\tS. Ahmed, N. Javaid, S. Yousaf, A. Ahmad, M.M. Sandhu , M. Imran, Z.A. Khan, N. Alrajeh, \u201cCo-LAEEBA: Cooperative link aware and energy efficient protocol for wireless body area networks\u201d, Computers in Human Behavior, Elsevier, Volume 51, October 2015, Pages 1205\u20131215.\r\n[3]\tNadeem Javaid, Ashfaq Ahmad, Qaisar Nadeem, Muhammad Imran, Noman Haider, \u201ciM-SIMPLE: iMproved stable increased-throughput multi-hop link efficient routing protocol for Wireless Body Area Networks\u201d, Computers in Human Behavior, Elsevier, Volume 51, October 2015, Pages 1003\u20131011.\r\n[4]\tXuedong Liang, Ilangko Balasingham, \u201cA QoS-aware Routing Service Framework for Biomedical Sensor Networks\u201d, International Symposium on Wireless Communication Systems, October 2007, Pages 342 \u2013 345.\r\n[5]\tLong Hu Yin Zhang Dakui Feng Mohammad Mehedi Hassan Abdulhameedlelaiwi, Atif Alamri, \u201cDesign of QoS-Aware Multi-Level MAC-Layer forWireless Body Area Network\u201d, Journal of Medical Systems, Springer, December 2015, Pages 1-11.\r\n[6]\tLamia Chaari, Lotfi Kamoun, \u201cQoS Concepts and Architecture Over Wireless Body Area Networks for Healthcare Applications\u201d, International Journal of E-Health and Medical Communications, December 2011, Pages 50-51.\r\n[7]\tJocelyne Elias and Ahmed Mehaoua, \u201cEnergy-aware Topology Design for Wireless Body Area Networks\u201d, IEEE International Conference on Communications (ICC), June 2012, Pages 3409-3413.\r\n[8]\tNorbert Varga, Laszlo Bokor, AndrasTakacs, \u201cContext-aware IPv6 Flow Mobility for Multi-Sensor based Mobile Patient Monitoring and Tele-consultation\u201d, Elsevier, Procedia Computer Science 40, January 2014, Pages 222 \u2013 229.\r\n[9]\tNourchene Bradai, Lamia Chaari Fourati, Lotfi Kamoun, \u201cInvestigation and performance analysis of MAC protocols for WBAN networks\u201d, Journal of Network and Computer Applications, Elsevier, Volume 46, November 2014, Pages 362\u2013373.\r\n[10]\tShah Murtaza Rashid Al Masud, \u201cQoS Taxonomy towards Wireless Body Area Network Solutions\u201d, International journal of Application or Innovation in engineering Management, Volume 2, Issue 4, April 2013, Pages 221-234.\r\n[11]\tArash Maskooki, Cheong Boon Soh, Erry Gunawan, Kay Soon Low, \u201cAdaptive Routing for Dynamic On-Body Wireless Sensor Networks\u201d, IEEE Journal of Biomedical and Health Informatics, Volume 19, Issue 2, March 2015, Pages 549 \u2013 558.\r\n[12]\tAftab Ali, Nur Al Hasan Haldar, Farrukh Aslam Khan, Sana Ullah, \u201cECG Arrhythmia Classification Using Mahalanobis-Taguchi System in a Body Area Network Environment\u201d, IEEE Global Communications Conference (GLOBECOM), May 2015.\r\n[13]\tThirumoorthy Palanisamy, Karthikeyan N. Krishnasamy, \u201cBayes Node Energy Polynomial Distribution to Improve Routing in Wireless Sensor Network\u201d, PLoS ONE, Volume 10, Issue 10, October 2015, Pages 1-15.\r\n[14]\tJohn Paul Varkey, Dario Pompili and Theodore A. Walls, \u201cHuman motion recognition using a wireless sensor-based wearable system\u201d, Personal and Ubiquitous Computing, Springer, Volume 16, Issue 7, October 2012, Pages 897\u2013910.\r\n[15]\tBaozhi Chen and Dario Pompili, \u201cTransmission of Patient Vital Signs using Wireless Body Area Networks\u201d, Mobile Networks and Applications, Springer, Volume 16, Issue 6, December 2011, Pages 663\u2013682.\r\n[16]\tMohammad Abdur Razzaque, Saeideh S. Javadi, Yahaya Coulibaly and Muta Tah Hira, \u201cQoS-Aware Error Recovery in Wireless Body Sensor Networks using Adaptive Network Coding\u201d, Sensors, January 2015, Pages 440\u2013464.\r\n[17]\tYangzhe Liao, Mark S. Leeson, Matthew D. Higgins and Chenyao Bai, \u201cAnalysis of In-to-Out Wireless Body Area Network Systems: Towards QoS-Aware Health Internet of Things Applications\u201d, Electronics, July 2016, Pages 1-26.\r\n[18]\tSamaneh Movassaghi, Mehran Abolhasan, Justin Lipman, David Smith, and Abbas Jamalipour, \u201cWireless Body Area Networks: A Survey\u201d, IEEE Communications Surveys & Tutorials, Volume16, Issue 3, 2014, Pages 1658-1686.\r\n[19]\tZhangyu Guan, G. Enrico Santagati, and Tommaso Melodia, \u201cDistributed Algorithms for Joint Channel Access and Rate Control in Ultrasonic Intra-Body Networks\u201d, IEEE\/ACM Transactions on Networking, Volume PP, Issue 99, June 2016, Pages 1-1.\r\n[20]\tEmrecan Demirors, Giovanni Albay, G. Enrico Santagati, Tommaso Melodia, \u201cHigh Data Rate Ultrasonic Communications for Wireless Intra-Body Networks\u201d, IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), 2016.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 118, 2016"}