Abstract
Wireless Body Sensor Network (WBSN) consists of a large number of distributed sensor nodes. Wireless sensor networks are offering the next evolution in biometrics and healthcare monitoring applications. The present paper proposes a congestion control protocol based on the learning automata which prevents the congestion by controlling the source rate. Furthermore, a new active queue management mechanism is developed. The main objective of the proposed active queue management mechanism is to control and manage the entry of each packet to sensor nodes based on learning automata. The proposed system is able to discriminate different physiological signals and assign them different priorities. Thus, it would be possible to provide better quality of service for transmitting highly important vital signs. The simulation results confirm that the proposed protocol improves system throughput and reduces delay and packet dropping.
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References
Ren, H.L., Meng, M.Q.H., Chen, X.J.: Physiological Information acquisition through wireless biomedical sensor networks. In: Proceeding of IEEE International Conference on Information Acquisition (July 2005)
Zhou, G., Liu, J., Wan, C., Yarvis, M., Stankovic, J.: BodyQoS: Adaptive and Radio-Agnostic QoS for Body Sensor Networks, Infocom (April 2008)
Narendra, K.S., Thathachar, M.A.: Learning Automaton: An Introduction. Prentice Hall, Englewood Cliffs (1989)
Yaghmaee, M.H., Adjeroh, D.: Priority-based rate control for service differentiation and congestion control in wireless multimedia sensor networks. Computer Network Journal, 1798–1811 (2009)
Paek, J., Govindan, R.: RCRT: Rate-Controlled Reliable Transport for Wireless Sensor Networks. In: Proceedings of the ACM Conference on Embedded Networked Sensor Systems, Sensys (2007)
Yaghmaee, M.H., Adjeroh, D.: A Novel Congestion Control Protocol for Vital Signs Monitoring in Wireless Biomedical Sensor Networks, pp. 1–6, WCNC (2010)
Misra, S., Tiwari, V., Obaidat, M.S.: LACAS: Learning Automata-Based Congestion Avoidance Scheme for Healthcare Wireless Sensor Networks. IEEE Journal on Selected Areas in Communications 27(4), 466–479 (2009)
Sabbineni, H., Chakrabarty, K.: Location-aided floooding: An energy efffcient data dissemination protocol for wireless sensor networks. IEEE Transactions on Computers 51(1), 36–46 (2005)
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© 2011 Springer-Verlag Berlin Heidelberg
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Farzaneh, N., Yaghmaee, M.H. (2011). Joint Active Queue Management and Congestion Control Protocol for Healthcare Applications in Wireless Body Sensor Networks. In: Abdulrazak, B., Giroux, S., Bouchard, B., Pigot, H., Mokhtari, M. (eds) Toward Useful Services for Elderly and People with Disabilities. ICOST 2011. Lecture Notes in Computer Science, vol 6719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21535-3_12
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DOI: https://doi.org/10.1007/978-3-642-21535-3_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21534-6
Online ISBN: 978-3-642-21535-3
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