DOI QR코드

DOI QR Code

Packet Size Optimization for Improving the Energy Efficiency in Body Sensor Networks

  • Domingo, Mari Carmen (Telematics Engineering Department, Barcelona Tech University (Universitat Politecnica de Catalunya))
  • Received : 2010.05.07
  • Accepted : 2010.11.12
  • Published : 2011.06.30

Abstract

Energy consumption is a key issue in body sensor networks (BSNs) since energy-constrained sensors monitor the vital signs of human beings in healthcare applications. In this paper, packet size optimization for BSNs has been analyzed to improve the efficiency of energy consumption. Existing studies on packet size optimization in wireless sensor networks cannot be applied to BSNs because the different operational characteristics of nodes and the channel effects of in-body and on-body propagation cannot be captured. In this paper, automatic repeat request (ARQ), forward error correction (FEC) block codes, and FEC convolutional codes have been analyzed regarding their energy efficiency. The hop-length extension technique has been applied to improve this metric with FEC block codes. The theoretical analysis and the numerical evaluations reveal that exploiting FEC schemes improves the energy efficiency, increases the optimal payload packet size, and extends the hop length for all scenarios for in-body and on-body propagation.

Keywords

References

  1. H. Cao et al., "Enabling Technologies for Wireless Body Area Networks: A Survey and Outlook," IEEE Commun. Mag., vol. 47, no. 12, Dec. 2009, pp. 84-93.
  2. M.A. Hanson et al., "Body Area Sensor Networks: Challenges and Opportunities," Computer, vol. 42, no. 1, Jan. 2009, pp. 58-65.
  3. G.-Z. Yang, Body Sensor Networks, Springer Verlag, 2006.
  4. A. Natarajan et al., "Investigating Network Architectures for Body Sensor Networks," Proc. HealthNet, NY, USA, 2007, pp. 19-24.
  5. Y. Sankarasubramaniam, I.F. Akyildiz and S.W. McLaughlin, "Energy Efficiency Based Packet Size Optimization in Wireless Sensor Networks," Proc. IEEE Internal Workshop Sensor Netw. Protocols Appl., 2003.
  6. M.C. Vuran and I.F. Akyildiz, "Cross-Layer Packet Size Optimization for Wireless Terrestrial, Underwater, and Underground Sensor Networks," Proc. IEEE INFOCOM, Apr. 2008.
  7. M.C. Vuran and I.F. Akyildiz, "Cross-Layer Analysis of Error Control in Wireless Sensor Networks," Proc. SECON, Sept. 2006, pp. 585-594.
  8. K.Y. Yazdandoost and K. Sayrafian-Pour, "Channel Model for Body Area Network," Report to the IEEE P802.15, ID: IEEE 802.15-08-0780-02-0006, Apr. 2009.
  9. A. Taparugssanagorn et al., "A Review of Channel Modelling for Wireless Body Area Network in Wireless Medical Communications," Proc. WPMC, Saariselka, Finland, 2008.
  10. P. Hall, "Antennas Challenges for Body Centric Communications," Proc. IWAT, Mar. 2007.
  11. D.M. Davenport, B. Deb, and F.J. Ross, "Wireless Propagation and Coexistence of Medical Body Sensor Networks for Ambulatory Patient Monitoring," Proc. Workshop Wearable Implantable Body Sensor Netw., 2009, pp. 41-45.
  12. D. Domenicali, L. De Nardis, and M.-G. Di Benedetto, "UWB Body Area Network Coexistence by Interference Mitigation," Proc. ICUWB, Sept. 2009.
  13. J. Karedal et al., "A Measurement-Based Fading Model for Wireless Personal Area Networks," IEEE Trans. Wireless Commun., vol. 7, no. 11, Nov. 2008, pp. 4575-4585. https://doi.org/10.1109/T-WC.2008.070500
  14. E. Reusens et al., "Characterization of On-Body Communication Channel and Energy Efficient Topology Design for Wireless Body Area Networks," IEEE Trans. Info. Technol. Biomedicine, vol. 13, no. 6, Nov. 2009, pp. 933-945. https://doi.org/10.1109/TITB.2009.2033054
  15. A. Fort et al., "Ultra-Wideband Channel Model for Communication around the Human Body," IEEE J. Sel. Area Comm., vol. 24, no. 4, Apr. 2006, pp. 927-933. https://doi.org/10.1109/JSAC.2005.863885
  16. K. Takizawa, T. Aoyagi, and R. Kohno, "Channel Modeling and Performance Evaluation of UWB-based Wireless Body Area Networks," Proc. ICC, Dresden, Germany, June 2009.
  17. E. Shih et al., "Physical Layer Driven Protocol and Algorithm Design for Energy-Efficient Wireless Sensor Networks," Proc. MobiCom, Rome, Italy, July 2001.
  18. V.V. Phan, S.G. Glisic, and D.D. Luong, "Packet-Length Adaptive CLSP/DS-CDMA: Performance in Burst-Error Correlated Fading Channels," IEEE Trans. Wireless Commun., vol. 3, no. 1, Jan. 2004, pp. 147-158. https://doi.org/10.1109/TWC.2003.821191
  19. Zarlink ZL70101. Datasheet at: http://www.zarlink.com/zarlink/
  20. Nordic nRF24L01+. Datasheet at: http://www.nordicsemi.com/

Cited by

  1. Encapsulation of Semiconductor Gas Sensors with Gas Barrier Films for USN Application vol.34, pp.5, 2011, https://doi.org/10.4218/etrij.12.0112.0266
  2. An Energy Saving Scheme for Multilane-Based High-Speed Ethernet vol.34, pp.6, 2012, https://doi.org/10.4218/etrij.12.1812.0110
  3. Adaptive Data Transmission Control for Multilane-Based Ethernet vol.35, pp.1, 2013, https://doi.org/10.4218/etrij.13.0212.0169
  4. Communication Energy Modeling and Optimization through Joint Packet Size Analysis of BSN and WiFi Networks vol.24, pp.9, 2011, https://doi.org/10.1109/tpds.2012.264
  5. A Class of Cross-Layer Optimization Design for Congestion and Energy Efficiency with Compressed Sensing in Wireless Sensing Networks : A Class of Cross-Layer Optimization Design for Congestion and Ene vol.16, pp.2, 2011, https://doi.org/10.1002/asjc.743
  6. Movers and shakers : kinetic energy harvesting for the internet of things vol.42, pp.1, 2011, https://doi.org/10.1145/2637364.2591986
  7. Transmission Power Control for IEEE 802.15.6 Body Area Networks vol.36, pp.2, 2011, https://doi.org/10.4218/etrij.14.0213.0220
  8. The Effect of MAC Parameters on Energy Efficiency and Delay in Wireless Sensor Networks vol.9, pp.4, 2011, https://doi.org/10.4304/jnw.9.4.889-895
  9. Optimal Frame Length to Maximize Energy Efficiency in IEEE 802.15.6 UWB Body Area Networks vol.3, pp.4, 2011, https://doi.org/10.1109/lwc.2014.2321765
  10. Improving energy efficiency of incremental relay based cooperative communications in wireless body area networks vol.28, pp.1, 2011, https://doi.org/10.1002/dac.2641
  11. Movers and Shakers: Kinetic Energy Harvesting for the Internet of Things vol.33, pp.8, 2015, https://doi.org/10.1109/jsac.2015.2391690
  12. Energy-efficient adaptive transmission power control for wireless body area networks vol.10, pp.1, 2011, https://doi.org/10.1049/iet-com.2015.0368
  13. Characterization of the On-Body Path Loss at 2.45 GHz and Energy Efficient WBAN Design for Dairy Cows vol.64, pp.11, 2011, https://doi.org/10.1109/tap.2016.2606571
  14. Packet Size Optimization in Wireless Sensor Networks for Smart Grid Applications vol.64, pp.3, 2011, https://doi.org/10.1109/tie.2016.2619319
  15. Cross Layer Design for Optimizing Transmission Reliability, Energy Efficiency, and Lifetime in Body Sensor Networks vol.17, pp.4, 2011, https://doi.org/10.3390/s17040900
  16. IEEE 802.15.6 UWB WBAN에서 다중 홉 전송에 대한 성능 평가 vol.21, pp.7, 2011, https://doi.org/10.6109/jkiice.2017.21.7.1313
  17. Towards Efficient Wireless Body Area Network Using Two-Way Relay Cooperation vol.18, pp.2, 2011, https://doi.org/10.3390/s18020565
  18. A Critical Review on Recent Research on Reliable Communication for Wireless Body Area Network vol.9, pp.4, 2011, https://doi.org/10.2174/2210327909666181217112948
  19. AI for dynamic packet size optimization of batteryless IoT nodes: a case study for wireless body area sensor networks vol.32, pp.20, 2011, https://doi.org/10.1007/s00521-020-04813-x