Skip to main content

Multi-modal Transmission Strategies with Obstacle Avoidance for Healthcare Applications

  • Conference paper
  • First Online:
Communications and Networking (ChinaCom 2017)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Yang, G.-Z. (ed.): Body Sensor Networks. Springer, London (2014). https://doi.org/10.1007/978-1-4471-6374-9

    Book  Google Scholar 

  2. 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

    Chapter  Google Scholar 

  3. 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)

    Google Scholar 

  4. 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)

    Article  Google Scholar 

  5. Chipcon, A.S.: CC2420 2.4 GHz IEEE 802.15. 4/ZigBee-ready RF Transceiver Data Sheet (rev. 1.3), Rev. 3 (2011)

    Google Scholar 

  6. 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)

    Article  Google Scholar 

  7. 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)

    Article  Google Scholar 

  8. 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)

    Google Scholar 

  9. 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

    Chapter  Google Scholar 

  10. 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

    Google Scholar 

  11. Barclay, C., Cutting, J., Kozlowski, L.: Temporal and spatial factors in gait perception that influence gender recognition. Percept. Psychophys. 23(2), 145–152 (1978)

    Article  Google Scholar 

  12. 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)

    Google Scholar 

  13. 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)

    Google Scholar 

  14. 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)

    Article  Google Scholar 

  15. 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)

    Article  Google Scholar 

  16. 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

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tiong Hoo Lim .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-78139-6_46

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78138-9

  • Online ISBN: 978-3-319-78139-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics