Abstract
This paper presents a novel energy-efficient MAC Protocol designed for Body Sensor networks (BSN) focusing towards pervasive healthcare applications. BSN nodes are usually attached to the human body to track vital health signs such as body temperature, activity or heart-rate. Unlike traditional wireless sensor networks, the nodes in BSN are not deployed in an adhoc manner. The network connectivity is usually centrally managed and all communications are single-hop. The BSN has to be dependable in order to ensure the availability and reliability of the data received. Hence, it is necessary to reduce energy consumption in order to prolong the operation of the network without frequent outage. It is common to duty cycle the sensor nodes to preserve the battery utilization. However, the communication between the sensing node and receiving node can be interfered by human movement that can lead to energy wastage. In this paper, A Multi-Modal Opportunistic Transmission with Energy Saving (M-MOTES) is proposed. M-MOTES uses the opportunistic transmission approach and the human kinematics to duty-cycling the node. Extensive experiments performed on real hardware show that M-MOTES can reduce the battery power consumption without affecting the packet reliability.
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References
Yang, G.-Z. (ed.): Body Sensor Networks. Springer, London (2014). https://doi.org/10.1007/978-1-4471-6374-9
Lim, T., Lau, H., Timmis, J., Bate, I.: Immune-inspired self healing in wireless sensor networks. In: Coello Coello, C.A., Greensmith, J., Krasnogor, N., Liò, P., Nicosia, G., Pavone, M. (eds.) ICARIS 2012. LNCS, vol. 7597, pp. 42–56. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33757-4_4
Schwiebert, L., Gupta, S., Weinmann, J.: Research challenges in wireless networks of biomedical sensors. In: Proceedings of the 7th Annual International Conference on Mobile Computing and Networking, pp. 151–165. ACM (2001)
Phunchongharn, P., Hossain, E., Niyato, D., Camorlinga, S.: A cognitive radio system for e-health applications in a hospital environment. IEEE Wirel. Commun. 17(1), 20–28 (2010)
Chipcon, A.S.: CC2420 2.4 GHz IEEE 802.15. 4/ZigBee-ready RF Transceiver Data Sheet (rev. 1.3), Rev. 3 (2011)
Bourke, A.K., O’Brien, J.V., Lyons, G.M.: Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. Gait Posture 26(2), 194–199 (2007)
Kangas, M., Konttila, A., Lindgren, P., Winblad, I., Jamsa, T.: Comparison of low-complexity fall detection algorithms for body attached accelerometers. Gait Posture 28(2), 285–291 (2008)
Prabh, K., Royo, F., Tennina, S., Olivares, T.: BANMAC: an opportunistic MAC protocol for reliable communications in body area networks. In: Proceedings of the 8th International Conference on Distributed Computing in Sensor Systems, pp. 166–175 (2012)
Miluzzo, E., Zheng, X., Fodor, K., Campbell, A.T.: Radio characterization of 802.15.4 and its impact on the design of mobile sensor networks. In: Verdone, R. (ed.) EWSN 2008. LNCS, vol. 4913, pp. 171–188. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-77690-1_11
Lim, T.H., Weng, T., Bate, I.: Optimistic medium access control using gait anaysis in body sensor networks. In: Proceedings of the 5th International Conference on Wireless Mobile Communication and Healthcare, pp. 1–4, November 2014
Barclay, C., Cutting, J., Kozlowski, L.: Temporal and spatial factors in gait perception that influence gender recognition. Percept. Psychophys. 23(2), 145–152 (1978)
Kandukuri, S., Bambos, N.: Multimodal dynamic multiple access (MDMA) in wireless packet networks. In: Proceedings of the Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 1, pp. 199–208. IEEE (2001)
Lim, T., Bate, I., Timmis, J.: Multi-modal routing to tolerate failures. In: Proceedings of the International Conference on Intelligent Sensors, Sensor Networks and Information Processing, pp. 211–216 (2011)
Du, J., Shi, W.: App-MAC: an application-aware event-oriented MAC protocol for multimodality wireless sensor networks. IEEE Trans. Veh. Technol. 57(6), 3723–3731 (2008)
Vahdatpour, A., Amin, N., Xu, W., Sarrafzadeh, M.: On-body device localization for health and medical monitoring applications. Pervasive Mob. Comput. 7, 746–760 (2011)
Lim, T.H., Bate, I., Timmis, J.: Validation of performance data using experimental verification process in wireless sensor network. In: Proceedings of the 17th Conference on Emerging Technologies Factory Automation, pp. 1–8, September 2012
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Lim, T.H. (2018). Multi-modal Transmission Strategies with Obstacle Avoidance for Healthcare Applications. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-78139-6_46
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DOI: https://doi.org/10.1007/978-3-319-78139-6_46
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