About this Journal Submit a Manuscript Table of Contents
Mathematical Problems in Engineering
Volume 2012 (2012), Article ID 743728, 19 pages
http://dx.doi.org/10.1155/2012/743728
Research Article

An Immune Cooperative Particle Swarm Optimization Algorithm for Fault-Tolerant Routing Optimization in Heterogeneous Wireless Sensor Networks

1College of Information Sciences and Technology, Donghua University, Shanghai 201620, China
2Engineering Research Center of Digitized Textile and Fashion Technology, Ministry of Education, Donghua University, Shanghai 201620, China

Received 26 May 2011; Accepted 3 August 2011

Academic Editor: Jinling Liang

Copyright © 2012 Yifan Hu 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. D. Wang, J. Zheng, Y. Zhou, and J. Li, “A scalable support vector machine for distributed classification in ad hoc sensor networks,” Neurocomputing, vol. 74, no. 1–3, pp. 394–400, 2010. View at Publisher · View at Google Scholar
  2. J. Liang, Z. Wang, and X. Liu, “Distributed state estimation for discrete-time sensor networks with randomly varying nonlinearities and missing measurements,” IEEE Transactions on Neural Networks, vol. 22, no. 3, pp. 486–496, 2011. View at Publisher · View at Google Scholar
  3. B. Shen, Z. Wang, and X. Liu, “A stochastic sampled-data approach to distributed H-infinity filtering in sensor networks,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 58, no. 9, pp. 2237–2246, 2011. View at Publisher · View at Google Scholar
  4. B. Shen, Z. Wang, and Y. S. Hung, “Distributed consensus H-infinity filtering in sensor networks with multiple missing measurements: the finite-horizon case,” Automatica, vol. 46, no. 10, pp. 1682–1688, 2010. View at Publisher · View at Google Scholar
  5. B. Shen, Z. Wang, Y. S. Hung, and G. Chesi, “Distributed H-infinity filtering for polynomial nonlinear stochastic systems in sensor networks,” IEEE Transactions on Industrial Electronics, vol. 58, no. 5, pp. 1971–1979, 2011. View at Publisher · View at Google Scholar
  6. C. Laukik, D. Alin, and S. Ranka, “Fault tolerant aggregation in heterogeneous sensor networks,” Journal of Parallel and Distributed Computing, vol. 69, no. 2, pp. 210–219, 2009. View at Publisher · View at Google Scholar
  7. K. Akkaya and M. Younis, “A survey on routing protocols for wireless sensor networks,” Ad Hoc Networks, vol. 3, no. 3, pp. 325–349, 2005. View at Publisher · View at Google Scholar
  8. A. Boukerche, A. Martirosyan, and R. Pazzi, “An inter-cluster communication based energy aware and fault tolerant protocol for wireless sensor networks,” Mobile Networks and Applications, vol. 13, no. 6, pp. 614–626, 2008. View at Publisher · View at Google Scholar
  9. J. Heo and J. Hong, “EARQ: energy aware routing for real-time and reliable communication in wireless industrial sensor networks,” IEEE Transactions on Industrial Informatics, vol. 5, no. 1, pp. 3–11, 2009. View at Publisher · View at Google Scholar
  10. N. Nasser and Y. F. Chen, “SEEM: secure and energy-efficient multipath routing protocol for wireless sensor networks,” Computer Communications, vol. 30, no. 11-12, pp. 2401–2412, 2007. View at Publisher · View at Google Scholar
  11. C. Pandana and K. J. R. Liu, “Robust connectivity-aware energy-efficient routing for wireless sensor networks,” IEEE Transaction on Wireless Communications, vol. 10, no. 7, pp. 3904–3916, 2008.
  12. X. Han and X. Cao, “Fault-tolerant relay node placement in heterogeneous wireless sensor networks,” IEEE Transactions on Mobile Computing, vol. 9, no. 5, pp. 643–656, 2010. View at Publisher · View at Google Scholar
  13. C. H. Lin, J. L. Chen, and Z. L. Gaing, “Combining biometric fractal pattern and particle swarm optimization-based classifier for fingerprint recognition,” Mathematical Problems in Engineering, vol. 2010, Article ID 328676, pp. 1–30, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  14. T. Wimalajeewa and S. K. Jayaweera, “Optimal power scheduling for correlated data fusion in wireless sensor networks via constrained PSO,” IEEE Transactions on Wireless Communications, vol. 7, no. 9, pp. 3608–3618, 2008. View at Publisher · View at Google Scholar
  15. T. S. Zhan and C. C. Kao, “Modified PSO method for robust control of 3RPS parallel manipulators,” Mathematical Problems in Engineering, vol. 2010, Article ID 302430, 25 pages, 2010. View at Zentralblatt MATH
  16. C. J. Lin, C. H. Chen, and C. T. Lin, “A hybrid of cooperative particle swarm optimization and cultural algorithm for neural fuzzy networks and its prediction applications,” IEEE Transactions on Systems, Man and Cybernetics C, vol. 39, no. 1, pp. 55–68, 2009. View at Publisher · View at Google Scholar
  17. A. Boukerche, R. W. N. Pazzi, and R. B. Araujo, “Fault-tolerant wireless sensor network routing protocols for the supervision of context-aware physical environments,” Journal of Parallel and Distributed Computing, vol. 66, no. 4, pp. 586–599, 2006. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
  18. M. Cardei and S. H. Yang, “Algorithms for fault-tolerant topology in heterogeneous wireless sensor networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 19, no. 4, pp. 545–558, 2008. View at Publisher · View at Google Scholar
  19. Y. S. Ding, Z. H. Hu, and W. B. Zhang, “Multi-criteria decision making approach based on immune co-evolutionary algorithm with application to garment matching problem,” Expert Systems with Applications, vol. 38, no. 8, pp. 10377–10383, 2011. View at Publisher · View at Google Scholar
  20. Y. S. Ding, X. J. Lu, K. R. Hao, L. F. Li, and Y. F. Hu, “Target coverage optimization of wireless sensor networks using multi-objective immune co-evolutionary algorithms,” International Journal of Systems Science, vol. 42, no. 9, pp. 1531–1541, 2011. View at Publisher · View at Google Scholar
  21. Z. Hu and Y. S. Ding, “Immune co-evolutionary algorithm based partition balancing optimization for tobacco distribution system,” Expert Systems with Applications, vol. 36, no. 3, pp. 5248–5255, 2009. View at Publisher · View at Google Scholar
  22. L. Chitnis and A. Dobra, “Aggregation methods for large-scale sensor networks,” ACM Transactions on Sensor Networks, vol. 4, no. 2, pp. 1–36, 2008.
  23. S. Q. Ren and J. Park, “Fault-tolerance data aggregation for clustering wireless sensor network,” Wireless Personal Communications, vol. 51, no. 1, pp. 179–192, 2009. View at Publisher · View at Google Scholar
  24. H. Dong, Z. Wang, D. W. C. Ho, and H. Gao, “Robust H-infinity fuzzy output-feedback control with multiple probabilistic delays and multiple missing measurements,” IEEE Transactions on Fuzzy Systems, vol. 18, no. 4, pp. 712–725, 2010. View at Publisher · View at Google Scholar
  25. B. Shen, Z. Wang, H. Shu, and G. Wei, “Robust H-infinity finite-horizon filtering with randomly occurred nonlinearities and quantization effects,” Automatica, vol. 46, no. 11, pp. 1743–1751, 2010. View at Publisher · View at Google Scholar