A Reliable Routing Algorithm for Delay Sensitive Data in Body Area Networks

Subject Areas : Sensor Networks

Mojgan ShariatmadariSerkani ¹ , Javad Mohammadzadeh ² , Mahdi Motalebi ³

1 - Department of Computer Engineering, Karaj Branch, Islamic Azad University, IRAN.
2 - Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran.
3 - Department of Computer Engineering, bouyinzahra Branch, Islamic Azad University, Karaj, Iran.

Received: 2018-03-04 Accepted : 2018-10-30 Published : 2018-11-01

Keywords: WBAN, routing, end-to-end latency,

Abstract :

Wireless body Area networks (WBANs) include a number of sensor nodes placed inside or on the human body to improve patient health and quality of life. Ensuring the transfer and receipt of data in sensitive data is a very important issue. Routing algorithms should support a variety of service quality such as reliability and delay in sending and receiving data. Loss of information or excessive data delay can lead to loss of human life. A proper routing algorithm in WBAN networks provides an efficient route with minimum delay and higher reliability for sensitive data. In this context, a routing algorithm, as it is proposed, categorizes patient data into sensitive and non-sensitive. Sensitive packets are transmitted to the destination through the shortest route to have less delay and non-sensitive packets are transmitted from other routes. Simulation shows that the proposed algorithm performs better, in terms of the throughput than the DMQoS and RL-QRP this superiority; as a result, decreases the latency of the end.

References:

[1] Masdari, M., Ahmadzadeh, S. and Bidaki, M., 2017. Key management in wireless Body Area Network: Challenges and issues. Journal of Network and Computer Applications, 91, pp.36-51.
[2] Sindhu, S., Vashiath, S. and Chakarvarti, S.K., 2016. A Review on Wireless Body Area Network (WBAN) for Health Monitoring System, Implementation Protocol. Communication on Applied Electronics, Foundation of Computer Science, Newyork, USA, 4(7).
[3] Kumari, R. and Nand, P., 2016, April. Performance Comparison of various Routing Protocols in WSN and WBAN. In Computing, Communication and Automation (ICCCA), 2016 International Conference on (pp. 427-431). IEEE.
[4] Jovanov, E., Milenkovic, A., Otto, C. and De Groen, P.C., 2005. A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation. Journal of NeuroEngineering and rehabilitation, 2(1), p.6.
[5] Yousaf, S., Javaid, N., Qasim, U., Alrajeh, N., Khan, Z.A. and Ahmed, M., 2016. Towards reliable and energy-efficient incremental cooperative communication for wireless body area networks. Sensors, 16(3), p.284.
[6] Ko, J., Lu, C., Srivastava, M.B., Stankovic, J.A., Terzis, A. and Welsh, M., 2010. Wireless sensor networks for healthcare. Proceedings of the IEEE, 98(11), pp.1947-1960.
[7] Masdari, M., Ahmadzadeh, S. and Bidaki, M., 2017. Key management in wireless Body Area Network: Challenges and issues. Journal of Network and Computer Applications, 91, pp.36-51.
[8] Patel, M. and Wang, J., 2010. Applications, challenges, and prospective in emerging body area networking technologies. IEEE Wireless communications, 17(1).
[9] Shankar, S.K. and Tomar, A.S., 2016, May. A survey on wireless body area network and electronic-healthcare. In Recent Trends in Electronics, Information & Communication Technology (RTEICT), IEEE International Conference on (pp. 598-603). IEEE.
[10] Asif, A. and Sumra, I.A., 2017. Applications of Wireless Body Area Network (WBAN): A Survey. Engineering science and technology international research journal, pp.64-71.
[11] Razzaque, M.A., Hong, C.S. and Lee, S., 2011. Data-centric multiobjective QoS-aware routing protocol for body sensor networks. Sensors, 11(1), pp.917-937.
[12] Raja, K.S. and Kiruthika, U., 2015. An energy efficient method for secure and reliable data transmission in wireless body area networks using RelAODV. Wireless Personal Communications, 83(4), pp.2975-2997.
[13] Negra, R., Jemili, I. and Belghith, A., 2016. Wireless body area networks: Applications and technologies. Procedia Computer Science, 83, pp.1274-1281.
[14] Negra, R., Jemili, I. and Belghith, A., 2016. Wireless body area networks: Applications and technologies. Procedia Computer Science, 83, pp.1274-1281.
[15] Razzaque, M.A., Hira, M.T. and Dira, M., 2017. QoS in Body Area Networks: A Survey. ACM Transactions on Sensor Networks (TOSN), 13(3), p.25.
[16]  Anand, J. and Sethi, D., 2017, February. Comparative analysis of energy efficient routing in WBAN. In Computational Intelligence & Communication Technology (CICT), 2017 3rd International Conference on (pp. 1-6). IEEE.
[17] Bangash, J.I., Abdullah, A.H., Anisi, M.H. and Khan, A.W., 2014. A survey of routing protocols in wireless body sensor networks. Sensors, 14(1), pp.1322-1357.
[18] Jijesh, J.J., 2017, January. A survey on Wireless Body Sensor Network routing protocol classification. In Intelligent Systems and Control (ISCO), 2017 11th International Conference on(pp. 489-494). IEEE.
[19]  Liang, X., Balasingham, I. and Byun, S.S., 2008, October. A reinforcement learning based routing protocol with QoS support for biomedical sensor networks. In Applied Sciences on Biomedical and Communication Technologies, 2008. ISABEL'08. First International Symposium on (pp. 1-5). IEEE.
[20]  Djenouri, D. and Balasingham, I., 2009, September. LOCALMOR: Localized multi-objective routing for wireless sensor networks. In Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on(pp. 1188-1192). IEEE.