KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
권호 표지
DOI QR코드

DOI QR Code

Energy-aware Management in Wireless Body Area Network System

  • Zhang, Xu (Department of Computer and Information Engineering, Inha University) ;
  • Xia, Ying (Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications) ;
  • Luo, Shiyan (Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications)
  • Received : 2012.12.01
  • Accepted : 2013.02.26
  • Published : 2013.05.30
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, Wireless Body Area Network (WBAN) has promise to revolutionize human daily life. The need for multiple sensors and constant monitoring lead these systems to be energy hungry and expensive with short operating lifetimes. In this paper, we offer a review of existing work of WBAN and focus on energy-aware management in it. We emphasize that nodes computation, wireless communication, topology deployment and energy scavenging are main domains for making a long-lived WBAN. We study the popular power management technique Dynamic Voltage and Frequency Scaling (DVFS) and identify the impact of slack time in Dynamic Power Management (DPM), and finally propose an enhanced dynamic power management method to schedule scaled jobs at slack time with the goal of saving energy and keeping system reliability. Theoretical and experimental evaluations exhibit the effectiveness and efficiency of the proposed method.

Keywords

References

  1. D. Lewis et al., "802.15. 6 call for applications-response summary," IEEE P802, pp. 15-08, 2008.
  2. G. Joshi and P. Ranjan, "Optimizing power and buffer congestion on wireless sensor nodes using cap (coordinated adaptive power) management technique," International Journal of Wireless & Mobile Networks, vol. 3, no. 2, April, 2011.
  3. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "A survey on sensor networks," Communications Magazine, IEEE, vol. 40, no. 8, pp. 102-114, August, 2002.
  4. J. Hill, M. Horton, R. Kling, and L. Krishnamurthy, "The platforms enabling wireless sensor networks," Communications of the ACM, vol. 47, no. 6, pp. 41-46, June, 2004.
  5. X. Cui, X. Zhang, and Y. Shang, "Energy-saving strategies of wireless sensor networks," in Proc. of Int. Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, pp. 178-181, August 16-17, 2007.
  6. I. Slama, B. Jouaber, and D. Zeghlache, "Optimal power management scheme for heterogeneous wireless sensor networks: Lifetime maximization under qos and energy constraints," in Proc. of 27th Int. Conf. on Distributed Computing Systems Workshops, pp. 69-74, June 19-25, 2007.
  7. A. S. Zahmati, N. M. Moghadam, and B. Abolhassani, "Epmplcs: An efficient power management protocol with limited cluster size for wireless sensor networks," in Proc. of 27th Int. Conf. on Distributed Computing Systems Workshops, pp. 69-72, June 22-29, 2007.
  8. H.-C. Jang and H.-C. Lee, "Efficient energy management to prolong wireless sensor network lifetime," in Proc. of 3rd IEEE/IFIP Int. Conf. in Central Asia on Internet, pp. 1-4, September, 2007.
  9. C. Lin, Y.-X. He, and N. Xiong, "An energy-efficient dynamic power management in wireless sensor networks," in Proc. of 5th Int. Symposium on Parallel and Distributed Computing, pp. 148-154, 2006.
  10. X. Wang, J. Ma, and S. Wang, "Collaborative deployment optimization and dynamic power management in wireless sensor networks," in Proc. of 5th Int. Conf. on Grid and Cooperative Computing, pp. 121-128, 2006.
  11. H. Wang, W. Wang, D. Peng, and H. Sharif, "A route-oriented sleep approach in wireless sensor network," in Proc. of the Int. Conf. on Communication Systems, pp. 1-5, 2006.
  12. F. Mulas, A. Acquaviva, S. Carta, G. Fenu, D. Quaglia, and F. Fummi, "Network-adaptive management of computation energy in wireless sensor networks," in Proc. of the 2010 ACM Symposium on Applied Computing, pp. 756-763, 2010.
  13. M. Hempstead, N. Tripathi, P. Mauro, G.-Y. Wei, and D. Brooks, "An ultra low power system architecture for sensor network applications," in Proc. of 32nd Int. Symposium on Computer Architecture, pp. 208-219, May, 2005.
  14. V. Shnayder, M. Hempstead, B.-r. Chen, G. W. Allen, and M. Welsh, "Simulating the power consumption of large-scale sensor network applications," in Proc. of 2nd Int. Conf. on Embedded networked sensor systems, pp. 188-200, 2004.
  15. B. Gyselinckx, C. Van Hoof, J. Ryckaert, R. F. Yazicioglu, P. Fiorini, and V. Leonov, "Human++: autonomous wireless sensors for body area networks," in Proc. of IEEE Custom Integrated Circuits Conf., pp. 13-19, 2005.
  16. J. A. Paradiso and T. Starner, "Energy scavenging for mobile and wireless electronics," IEEE Pervasive Computing, vol. 4, no. 1, pp. 18-27, 2005.
  17. A. Sinha and A. Chandrakasan, "Dynamic power management in wireless sensor networks," IEEE Design & Test of Computers, vol. 18, no. 2, pp. 62-74, 2001. https://doi.org/10.1109/54.914626
  18. Z. Lu, J. Hein, M. Humphrey, M. Stan, J. Lach, and K. Skadron, "Control-theoretic dynamic frequency and voltage scaling for multimedia workloads," in Proc. Int. Conf. of CASES, pp. 156-163, October 8-11, 2002.
  19. H. Aydin and D. Zhu, "Reliability-aware energy management for periodic real-time tasks," IEEE Transactions on Computers, vol. 58, no. 10, pp. 1382-1397, 2009. https://doi.org/10.1109/TC.2009.56
  20. D. Zhu, H. Aydin, and J.-J. Chen, "Optimistic reliability aware energy management for real-time tasks with probabilistic execution times," in Proc. 29th IEEE Real-Time Systems Symposium, pp. 313-322, 2008.
  21. J.-J. Chen and L. Thiele, "Expected system energy consumption minimization in leakage-aware dvs systems," in Proc. of the Int. Symposium on Low Power Electronics and Design, pp. 315-320, 2008.
  22. B. Zhao, H. Aydin, and D. Zhu, "Energy management under general task-level reliability constraints," in Proc. of 18th Real Time and Embedded Technology and Applications Symposium, pp. 285-294, April 16-19, 2012.
  23. E. Jovanov and A. Milenkovic, "Body area networks for ubiquitous healthcare applications: opportunities and challenges," Journal of medical systems, vol. 35, no. 5, pp. 1245-1254, 2011. https://doi.org/10.1007/s10916-011-9661-x
  24. B. Latré, B. Braem, I. Moerman, C. Blondia, and P. Demeester, "A survey on wireless body area networks," Wireless Networks, vol. 17, no. 1, pp. 1-18, 2011. https://doi.org/10.1007/s11276-010-0252-4
  25. E. Jovanov, J. Price, D. Raskovic, K. Kavi, T. Martin, and R. Adhami, "Wireless personal area networks in telemedical environment," in Proc. of Int. Conf. on Information Technology Applications in Biomedicine, pp. 22-27, 2000.
  26. L. Hughes, X. Wang, and T. Chen, "A review of protocol implementations and energy efficient cross-layer design for wireless body area networks," Sensors, vol. 12, no. 11, pp. 14730-14773, 2012. https://doi.org/10.3390/s121114730
  27. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "Wireless sensor networks: a survey," Computer networks, vol. 38, no. 4, pp. 393-422, 2002. https://doi.org/10.1016/S1389-1286(01)00302-4
  28. V. Rodoplu and T. H. Meng, "Minimum energy mobile wireless networks," IEEE Journal on Selected Areas in Communications, vol. 17, no. 8, pp. 1333-1344, 1999. https://doi.org/10.1109/49.779917
  29. N. Li, J. C. Hou, and L. Sha, "Design and analysis of an mst-based topology control algorithm," IEEE Transactions on Wireless Communications, vol. 4, no. 3, pp. 1195-1206, 2005. https://doi.org/10.1109/TWC.2005.846971
  30. X.-Y. Li, Y. Wang, and W.-Z. Song, "Applications of k-local mst for topology control and broadcasting in wireless ad hoc networks," IEEE Transactions on Parallel and Distributed Systems, vol. 15, no. 12, pp. 1057-1069, 2004. https://doi.org/10.1109/TPDS.2004.77
  31. W.-Z. Guo, H.-L. Gao, G.-L. Chen, and L. Yu, "Particle swarm optimization for the degree-constrained mst problem in wsn topology control," in Proc. of Machine Learning and Cybernetics, 2009 International Conference on, vol. 3. IEEE, 2009, pp. 1793-1798.
  32. J. Elias and A. Mehaoua, "Energy-aware topology design for wireless body area networks," in Proc. of IEEE Int. Conf. on Communications, pp. 3409-3410, June 10-15, 2012.
  33. P. Brandao, "Abstracting information on body area network," Ph.D. dissertation, Dept. of Computer Engineering, Cambridge University, 2012.
  34. P. A. Catherwood and W. G. Scanlon, "Link characteristics for an off-body uwb transmitter in a hospital environment," in Proc. of Antennas & Propagation Conf., pp. 569-572, November 16-17, 2009.
  35. E. Reusens, W. Joseph, B. Latré, B. Braem, G. Vermeeren, E. Tanghe, L. Martens, I. Moerman, and C. Blondia, "Characterization of on-body communication channel and energy efficient topology design for wireless body area networks," IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 6, pp. 933-945, 2009. https://doi.org/10.1109/TITB.2009.2033054
  36. W. Ye, J. Heidemann, and D. Estrin, "An energy-efficient mac protocol for wireless sensor networks," in Proc. of 21th Annual Joint Conf. of the IEEE Computer and Communications Societies, vol. 3, pp. 1567-1576, June 23-27, 2002.
  37. T. Van Dam and K. Langendoen, "An adaptive energy-efficient mac protocol for wireless sensor networks," in Proc. of 1st Int. Conf. on Embedded Networked Sensor Systems, pp. 171-180, November 5-7, 2003.
  38. S. Ullah, K. S. Kwak et al., "An ultra low-power and traffic-adaptive medium access control protocol for wireless body area network," Journal of medical systems, vol. 36, no. 3, pp. 1021, 2012. https://doi.org/10.1007/s10916-010-9564-2
  39. H. Li and J. Tan, "An ultra-low-power medium access control protocol for body sensor network," in Proc. of 27th Annual Int. Conf. of the Engineering in Medicine and Biology Society, pp. 2451-2454, September 1-4, 2005.
  40. W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energy-efficient communication protocol for wireless microsensor networks," in Proc. of 33rd Annual Hawaii Int. Conf. on System Sciences, pp. 1-10, January 4-7, 2000.
  41. H. Qin, X. Zhong, and Z. Xiao, "Balanced energy consumption and cluster-based routing protocol," in Proc. of 9th IEEE Int. Conf. on Control and Automation, pp.686-691, December 19-21, 2011.
  42. C.-Y. Wan, S. B. Eisenman, and A. T. Campbell, "Energy-efficient congestion detection and avoidance in sensor networks," ACM Transactions on Sensor Networks (TOSN), vol. 7, no. 4, pp. 1-31, February, 2011.
  43. C.-Y. Wan, A. T. Campbell, and L. Krishnamurthy, "Pump-slowly, fetch-quickly (psfq): a reliable transport protocol for sensor networks," IEEE Journal on Selected Areas in Communications, vol. 23, no. 4, pp. 862-872, April, 2005. https://doi.org/10.1109/JSAC.2005.843554
  44. O. B. Akan and I. F. Akyildiz, "Event-to-sink reliable transport in wireless sensor networks," IEEE/ACM Transactions on Networking (TON), vol. 13, no. 5, pp. 1003-1016, 2005. https://doi.org/10.1109/TNET.2005.857076
  45. C.-C. Shen, C. Srisathapornphat, and C. Jaikaeo, "Sensor information networking architecture and applications," IEEE Personal Communications, vol. 8, no. 4, pp. 52-59, August, 2001. https://doi.org/10.1109/98.944004
  46. X.-H. Lin, G.-C. Su, Hui-Wang, and L. Huang, "A novel MAC approach to combating fading channel for wireless sensor networks," in Proc. of Int. Conf. on Wireless Communications, Networking and Mobile Computing, pp. 2348-2351, August 12-16, 2007.
  47. A. G. Ruzzelli, R. Jurdak, G. M. O'Hare, and P. Van Der Stok, "Energy-efficient multi-hop medical sensor networking," in Proc. of 1st ACM SIGMOBILE Int. Workshop on SYSTEMS and Networking Support for Healthcare and Assisted Living Environments, pp. 37-42, September 9-14, 2007.
  48. B. Nefzi, H. Cruz-Sanchez, and Y.-Q. Song, "SCSP: An energy efficient network-mac cross-layer design for wireless sensor networks," in Proc. of IEEE 34th Conf. on Local Computer Networks, pp. 1061-1068, October 20-23, 2009.
  49. I. F. Akyildiz, M. C. Vuran, and O. B. Akan, "A cross-layer protocol for wireless sensor networks," in Proc. of 40th Annual Conf. on Information Sciences and Systems, pp. 1102-1107, March 22-24, 2006.
  50. M. C. Vuran and I. F. Akyildiz, "XLP: A cross-layer protocol for efficient communication in wireless sensor networks," IEEE Transactions on Mobile Computing, vol. 9, no. 11, pp. 1578-1591, 2010. https://doi.org/10.1109/TMC.2010.125
  51. R. Min, T. Furrer, and A. Chandrakasan, "Dynamic voltage scaling techniques for distributed microsensor networks," IEEE Computer Society Annual Workshop on VLSI, pp. 43-46, 2000.
  52. A. Ravinagarajan, D. Dondi, and T. S. Rosing, "DVFS based task scheduling in a harvesting wsn for structural health monitoring," in Proc. of the 10th Conf. on Design, Automation and Test in Europe, pp. 1518-1523, 2010.
  53. G. Joshi and P. Ranjan, "CAP(coordinated adaptive power) management technique with adaptive threshold policy for wireless sensor nodes," in Proc. of the Asia-Pacific Advanced Network, pp. 101-105, 2011.
  54. S. Liu, Q. Wu, and Q. Qiu, "An adaptive scheduling and voltage/frequency selection algorithm for real-time energy harvesting systems," in Proc. of the 46th Conf. of Annual Design Automation, pp.782-787, 2009.
  55. Y. Gu, T. Zhu, and T. He, "ESC: Energy synchronized communication in sustainable sensor networks," in Proc. of 17th Int. Conf. on network protocols, October, 2009.
  56. A. Kansal, J. Hsu, S. Zahedi, and M. B. Srivastava, "Power management in energy harvesting sensor networks," ACM Transactions on Embedded Computing Systems (TECS), vol. 6, no. 4, pp. 32, September, 2007. https://doi.org/10.1145/1274858.1274870
  57. S. Liu, Q. Qiu, and Q. Wu, "Energy aware dynamic voltage and frequency selection for real-time systems with energy harvesting," in Proc. of the Conf. on Design, automation and test in Europe, pp. 236-241, 2008.
  58. C. Moser, D. Brunelli, L. Thiele, and L. Benini, "Real-time scheduling with regenerative energy," in Proc. of 18th Euromicro Conf. on Real-Time Systems, pp. 261-270, 2006.
  59. B. Zhang, R. Simon, and H. Aydin, "Energy management for time-critical energy harvesting wireless sensor networks," in Proc. of 12th Int. Symposium, pp. 236-251, September 20-22, 2010.
  60. J. Hsu, S. Zahedi, A. Kansal, M. Srivastava, and V. Raghunathan, "Adaptive duty cycling for energy harvesting systems," in Proc. of the Int. Symposium on Low Power Electronics and Design, pp. 180-185, 2006.
  61. N. Dang, E. Bozorgzadeh, and N. Venkatasubramanian, "Quares: Quality-aware data collection in energy harvesting sensor networks," in Proc. of 2011 Int. Green Computing Conf. and Workshops, pp. 1-9, July 25-28, 2011.
  62. S. Saha, "An experimental evaluation of real-time dvfs scheduling algorithms," Master's thesis, Dept. of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, 2011.
  63. Y.-H. Lu, L. Benini, and G. De Micheli, "Power-aware operating systems for interactive systems," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 10, no. 2, pp. 119-134, April, 2002. https://doi.org/10.1109/92.994989
  64. T. Simunic, L. Benini, P. Glynn, and G. De Micheli, "Dynamic power management for portable systems," in Proc. of 6th Int. Conf. on Mobile Computing and Networking, pp. 11-19, 2000.
  65. S. Saha and B. Ravindran, "An experimental evaluation of real-time DVFS scheduling algorithms," in Proc. of 5th Int. Conf. on Systems and Storage, pp. 15, 2012.
  66. D. Zhu, N. AbouGhazaleh, D. Mossé, and R. Melhem, "Power aware scheduling for and/or graphs in multiprocessor real-time systems," in IEEE ICPP, pp. 593-601, August, 2002.
  67. T. L. Martin and D. P. Siewiorek, "Balancing batteries, power, and performance: system issues in cpu speed-setting for mobile computing," Ph.D. dissertation, Dept. of Electrical and Computer Engineering, Carnegie Mellon University, 1999.
  68. "SNU real-time benchmarks," Available: http://www.cprover.org/goto-cc/examples/snu.html
  69. "The Simplescalar-arm power modeling project," Available: http://web.eecs.umich.edu/ -panalyzer/
  70. "Heptane : Worst-case execution times tool," Available: http://www.irisa.fr/alf/index.php?option=com_content&view=article&id=29&Itemid=&lang=fr
  71. S. Liu, J. Lu, Q. Wu, and Q. Qiu, "Harvesting-aware power management for real-time systems with renewable energy," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 20, no. 8, pp. 1473-1486, August, 2012. https://doi.org/10.1109/TVLSI.2011.2159820

Cited by

  1. Degrees of Freedom of Y Channel with Single-Antenna Users: Transmission Scheme and Beamforming Optimization vol.8, pp.12, 2014, https://doi.org/10.3837/tiis.2014.12.004
  2. Fine-Grained Energy Consumption Model of Servers Based on Task Characteristics in Cloud Data Center vol.6, pp.None, 2018, https://doi.org/10.1109/access.2017.2732458