Sensor Prioritization and Decisive Sensing: A Conservative Power Saving Scheme for BSNs

  • Frank I. Elijorde
  • Hyunho Yang
  • Jaewan Lee
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 235)


The emerging field of BSN, which centers on the human body, is attributed to the huge success of sensor utilization in assistive applications. With a sensing environment much different with that of a conventional WSN, a BSN has to be designed in a way which is focused on the power-constrained nature of body sensors. Thus, it is important that the network is well-coordinated in terms of measuring and transmitting data so as to minimize power consumption and prolong network lifetime. In this paper, we propose a power saving scheme which ranks sensors based on the priority level of the body parameters they measure and is used by the coordinator as a basis for deciding the parameters required for monitoring or diagnosis. The experimental results show that a BSN based on the proposed approach has much lower power consumption compared to conventional sleep/wakeup techniques.


Body sensor networks Power saving schemes Sleep/wakeup techniques Sensor ranking Sensor prioritization 


  1. 1.
    Ragesh GK, Baskaran K (2011) A survey on futuristic health care system: WBANs. In: International conference on communication technology and system designGoogle Scholar
  2. 2.
    Al Ameen MA, Liu J, Kwak K (2010) Security and privacy issues in wireless sensor networks for healthcare applications. J Med Syst 36:93–101Google Scholar
  3. 3.
    Nabi M et al (2010) A robust protocol stack for multi-hop wireless body area networks with transmit power adaptation. In: 5th Annual international ICST conference on body area networks, Corfu Island, GreeceGoogle Scholar
  4. 4.
    Omeni O et al (2008) Energy efficient medium access protocol for wireless medical body area sensor networks. IEEE Trans Biomed Circuits Syst 2:251–259Google Scholar
  5. 5.
    Li H, Tan J (2010) Heartbeat-driven medium-access control for body sensor networks. IEEE Trans Inf Technol Biomed 14:44–51Google Scholar
  6. 6.
    Fang G, Dutkiewicz E (2009) BodyMAC: energy efficient TDMA-based MAC protocol for wireless body area networks. In: 9th International symposium on communications and information technology, pp 1455–1459Google Scholar
  7. 7.
    Ullah S et al (2009) Towards power efficient MAC protocol for in-body and on-body sensor networks. In: Håkansson A et al (eds) KES-AMSTA, vol 5559. Springer, Heidelberg, pp 335–345 Google Scholar
  8. 8.
    Ansari J, Pankin D, Mahonen P (2008) Radio-triggered wake-ups with addressing capabilities for extremely low power sensor network applications. In: 5th European conference on wireless sensor networks, Bologna, ItalyGoogle Scholar
  9. 9.
    Yang GZ (2010) Body sensor networks. Springer, LondonGoogle Scholar
  10. 10.
    Kwak K, Al Ameen M, Jaedoo H (2012) Power efficient wakeup mechanisms for wireless body area networks. In: 6th International symposium on medical information and communication technologyGoogle Scholar
  11. 11.
    Shih-Lun C, Ho-Yin L, Chiung-An C, Hong-Yi H, Ching-Hsing L (2009) Wireless body sensor network with adaptive low-power design for biometrics and healthcare applications. IEEE Syst J 3(4):398–409CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Institute of Information and Communications TechnologyWest Visyas State UniversityIloilo CityPhilippines
  2. 2.Department of Information and Communication EngineeringKunsan National UniversityGunsanSouth Korea

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