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Journal of Control Science and Engineering
Volume 2015, Article ID 583092, 12 pages
http://dx.doi.org/10.1155/2015/583092
Research Article

Fuzzy Weight Cluster-Based Routing Algorithm for Wireless Sensor Networks

1School of Mechanical Engineering & Automation, Dalian Polytechnic University, Dalian 116034, China
2School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China
3School of Information Engineering, Dalian Ocean University, Dalian 116023, China

Received 10 April 2015; Revised 28 July 2015; Accepted 26 August 2015

Academic Editor: Onur Toker

Copyright © 2015 Teng Gao 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. Z. Zinonos, C. Chrysostomou, and V. Vassiliou, “Wireless sensor networks mobility management using fuzzy logic,” Ad Hoc Networks, vol. 16, pp. 70–87, 2014. View at Publisher · View at Google Scholar · View at Scopus
  2. K. W. Sha, J. Gehlot, and R. Greve, “Multipath routing techniques in wireless sensor networks: a survey,” Wireless Personal Communications, vol. 70, no. 2, pp. 807–829, 2013. View at Publisher · View at Google Scholar · View at Scopus
  3. B. A. Said, E. Abdellah, and M. Ahmed, “Gateway and cluster head election using fuzzy logic in heterogeneous wireless sensor networks,” in Proceedings of the International Conference on Multimedia Computing and Systems (ICMCS '12), pp. 761–766, Tangier, Morocco, May 2012. View at Publisher · View at Google Scholar
  4. L. Barolli, Q. Wang, E. Kulla, B. Kamo, F. Xhafa, and M. Younas, “A fuzzy-based simulation system for cluster-head selection and sensor speed control in wireless sensor networks,” in Proceedings of the 3rd International Conference on Emerging Intelligent Data and Web Technologies (EIDWT '12), pp. 16–22, Bucharest, Romania, September 2012. View at Publisher · View at Google Scholar · View at Scopus
  5. S. Maurya and A. K. Daniel, “Hybrid routing approach for heterogeneous wireless sensor networks using fuzzy logic technique,” in Proceedings of the 4th International Conference on Advanced Computing and Communication Technologies (ACCT '14), pp. 202–207, IEEE, Rohtak, India, February 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. P. Kumari, M. P. Singh, and P. Kumar, “Survey of clustering algorithms using fuzzy logic in wireless sensor network,” in Proceedings of the International Conference on Energy Efficient Technologies for Sustainability (ICEETS '13), pp. 924–928, April 2013. View at Publisher · View at Google Scholar · View at Scopus
  7. J. N. Al-Karaki and A. E. Kamal, “A taxonomy of routing techniques in wireless sensor networks,” in Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems, M. Ilyas and I. Mahgoub, Eds., pp. 116–139, CRC Press, 2005. View at Google Scholar
  8. W. R. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks,” in Proceedings of the 33rd Annual Hawaii International Conference on System Siences (HICSS '00), pp. 3005–3014, January 2000. View at Publisher · View at Google Scholar · View at Scopus
  9. A. Manjeshwar and D. P. Agarwal, “TEEN: a routing protocol for enhanced efficiency in wireless sensor networks,” in Proceedings of the 15th International Parallel and Distributed Processing Symposium, pp. 2009–2015, IEEE, San Francisco, Calif, USA, April 2000. View at Publisher · View at Google Scholar
  10. A. Manjeshwar and D. P. Agarwal, “APTEEN: a hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks,” in Proceedings of the 2nd International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing (IPDPS '02), pp. 195–202, Lauderdale, Fla, USA, April 2002.
  11. M. J. Handy, M. Haase, and D. Timmermann, “Low energy adaptive clustering hierarchy with deterministic cluster-head selection,” in Proceedings of the 4th IEEE Conference on Mobile and Wireless Communications Networks, pp. 368–372, Stockholm, Sweden, 2002. View at Publisher · View at Google Scholar
  12. A. K. Parekh, “Selecting routers in ad-hoc wireless networks,” in Proceedings of the the SBT/IEEE International Telecommunications Symposium (ITS '94), pp. 420–424, Rio de Janeiro, Brazil, August 1994.
  13. C. R. Lin and M. Gerla, “Adaptive clustering for mobile wireless networks,” IEEE Journal on Selected Areas in Communications, vol. 15, no. 7, pp. 1265–1275, 1997. View at Publisher · View at Google Scholar · View at Scopus
  14. O. Younis and S. Fahmy, “Heed: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks,” IEEE Transactions on Mobile Computing, vol. 3, no. 4, pp. 366–379, 2004. View at Publisher · View at Google Scholar · View at Scopus
  15. M. Chatterjee, S. K. Das, and D. Turgut, “WCA: a weighted clustering algorithm for mobile ad hoc networks,” Journal of Cluster Computing, vol. 5, no. 2, pp. 193–204, 2002. View at Google Scholar
  16. J.-W. Zhang, Y.-Y. Ji, J.-J. Zhang, and C.-L. Yu, “A weighted clustering algorithm based routing protocol in wireless sensor networks,” in Proceedings of the ISECS International Colloquium on Computing, Communication, Control, and Management (CCCM '08), pp. 599–602, IEEE, Guangzhou, China, August 2008. View at Publisher · View at Google Scholar · View at Scopus
  17. H.-Q. Huang, D.-Y. Yao, J. Shen, K. Ma, and H.-T. Liu, “Multi-weight based clustering algorithm for wireless sensor networks,” Journal of Electronics & Information Technology, vol. 30, no. 6, pp. 1489–1492, 2008. View at Google Scholar · View at Scopus
  18. Y. Y. Ji, J. W. Zhang, and C. L. Yu, “An improvement routing protocol by weighted clustering algorithm in WSN,” Journal of Hangzhou Dianzi University, vol. 28, no. 6, pp. 29–32, 2008. View at Google Scholar
  19. B. Cai and X. D. Chen, “Clustering algorithm based on automatic on-demand weighted for sensor networks,” Microelectronics & Computer, vol. 25, no. 11, pp. 129–132, 2008. View at Google Scholar
  20. X. C. Huang, A study on theories and methodologies for fuzzy multi-objective decision makings with their applications [Ph.D. dissertation], Dalian University of Technology, Dalian, China, 2003.
  21. S. Y. Chen, Engineering Fussy Theories and Application, Press of Dalian University of Technology, Dalian, China, 1998.
  22. W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks,” IEEE Transactions on Wireless Communications, vol. 1, no. 4, pp. 660–670, 2002. View at Publisher · View at Google Scholar · View at Scopus