Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 307869, 8 pages
http://dx.doi.org/10.1155/2014/307869
Research Article

An Improved Task Scheduling Algorithm for Intelligent Control in Tiny Mechanical System

College of Information Science & Engineering, Northeastern University, Shenyang 110819, China

Received 28 February 2014; Accepted 1 April 2014; Published 22 April 2014

Academic Editor: Weichao Sun

Copyright © 2014 Jialiang Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. http://en.wikipedia.org/wiki/Wireless_sensor_network.
  2. W. Sun, H. Gao, and B. Yao, “Adaptive robust vibration control of full-car active suspensions with electro-hydraulic actuators,” IEEE Transactions on Control Systems Technology, vol. 21, no. 6, pp. 2417–2422, 2013. View at Google Scholar
  3. M. Peng, Y. Xiao, and P. P. Wang, “Error analysis and kernel density approach of scheduling sleeping nodes in cluster-based wireless sensor networks,” IEEE Transactions on Vehicular Technology, vol. 58, no. 9, pp. 5105–5114, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. A. Merentitis, N. Kranitis, A. Paschalis, and D. Gizopoulos, “Low energy online self-test of embedded processors in dependable WSN nodes,” IEEE Transactions on Dependable and Secure Computing, vol. 9, no. 1, pp. 86–100, 2012. View at Publisher · View at Google Scholar · View at Scopus
  5. K. McCusker and N. E. O'Connor, “Low-energy symmetric key distribution in wireless sensor networks,” IEEE Transactions on Dependable and Secure Computing, vol. 8, no. 3, pp. 363–376, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. A. Fallahi and E. Hossain, “A dynamic programming approach for QoS-aware power management in wireless video sensor networks,” IEEE Transactions on Vehicular Technology, vol. 58, no. 2, pp. 843–854, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. Y. Zhao, J. Wu, F. Li, and S. Lu, “On maximizing the lifetime of wireless sensor networks using virtual backbone scheduling,” IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 8, pp. 1528–1535, 2012. View at Google Scholar
  8. M. T. Penella and M. Gasulla, “Runtime extension of low-power wireless sensor nodes using hybrid-storage units,” IEEE Transactions on Instrumentation and Measurement, vol. 59, no. 4, pp. 857–865, 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. N. Roseveare and B. Natarajan, “Distributed tracking with energy management in wireless sensor networks,” IEEE Transactions on Aerospace and Electronic Systems, vol. 48, no. 4, pp. 3494–3511, 2012. View at Google Scholar
  10. F. Liu, C.-Y. Tsui, and Y. J. Zhang, “Joint routing and sleep scheduling for lifetime maximization of wireless sensor networks,” IEEE Transactions on Wireless Communications, vol. 9, no. 7, pp. 2258–2267, 2010. View at Publisher · View at Google Scholar · View at Scopus
  11. J. W. S. Liu, Real-Time Systems, Higher Education Press, Beijing, China, 2003.
  12. W. Sun, Y. Zhao, J. Li, L. Zhang, and H. Gao, “Active suspension control with frequency band constraints and actuator input delay,” IEEE Transactions on Industrial Electronics, vol. 59, no. 1, pp. 530–537, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. J. Wang, H. Zhao, J. Xu, and Y. Bi, “Webit&NEU: an embedded device for the Internet of things,” International Journal of Distributed Sensor Networks, vol. 2014, Article ID 839540, 10 pages, 2014. View at Publisher · View at Google Scholar
  14. Z. Hai and C. Yan, Pervasive Computing, Northeastern University Press, Shenyang, China, 2005.
  15. Intel Corporation, “iRMX 51 DISTRIBUTED CONTROL EXECUTIVE USER’S GUIDE for Release 2.0,” Intel Corporation, 1987.
  16. J. Wang, H. Zhao, P. Li, H. Li, and B. Li, “Analysis and comparison of five kinds of typical device-level embedded operating systems,” Journal of Software Engineering and Applications, vol. 3, no. 1, pp. 81–90, 2010. View at Google Scholar
  17. W. Sun, Z. Zhao, and H. Gao, “Saturated adaptive robust control for active suspension systems,” IEEE Transactions on Industrial Electronics, vol. 60, no. 9, pp. 3889–3896, 2013. View at Google Scholar
  18. W. Sun, H. Gao, and O. Kaynak, “Adaptive backstepping control for active suspension systems with hard constraints,” IEEE Transactions on Mechatronics, vol. 18, no. 3, pp. 1072–1079, 2013. View at Google Scholar
  19. W. Sun, H. Gao Sr., and O. Kaynak, “Finite frequency H control for vehicle active suspension systems,” IEEE Transactions on Control Systems Technology, vol. 19, no. 2, pp. 416–422, 2011. View at Publisher · View at Google Scholar · View at Scopus
  20. R. Majumder, G. Bag, and K.-H. Kim, “Power sharing and control in distributed generation with wireless sensor networks,” IEEE Transactions on Smart Grid, vol. 3, no. 2, pp. 618–634, 2012. View at Publisher · View at Google Scholar · View at Scopus