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Journal of Sensors
Volume 2016 (2016), Article ID 9350928, 28 pages
http://dx.doi.org/10.1155/2016/9350928
Research Article

On Event/Time Triggered and Distributed Analysis of a WSN System for Event Detection, Using Fuzzy Logic

Department of Electrical and Computer Engineering, University of Patras, Eratosthenous 6, Rio, 26500 Patras, Greece

Received 14 December 2015; Accepted 15 March 2016

Academic Editor: Matthew J. Whelan

Copyright © 2016 Sofia Maria Dima 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. G. Wittenburg, N. Dziengel, C. Wartenburger, and J. Schiller, “A system for distributed event detection in wireless sensor networks,” in Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN '10), pp. 94–104, Stockholm, Sweden, April 2010. View at Publisher · View at Google Scholar
  2. D. Li, K. D. Wong, Y. H. Hu, and A. M. Sayeed, “Detection, classification, and tracking of targets,” IEEE Signal Processing Magazine, vol. 19, no. 2, pp. 17–29, 2002. View at Publisher · View at Google Scholar · View at Scopus
  3. M. Bahrepour, N. Meratnia, and P. J. M. Havinga, “Automatic fire detection: a survey from wireless sensor network perspective,” December 2008, http://doc.utwente.nl/65223/.
  4. J. Barbarn, M. Daz, I. Esteve, D. Garrido, L. Llopis, and B. Rubio, “Rtcoord: a methodology to design wsan applications,” Proceedings of World Academy of Science: Engineering & Technolog, vol. 21, p. 144, 2007. View at Google Scholar
  5. E. F. Nakamura, A. A. F. Loureiro, and A. C. Frery, “Information fusion for wireless sensor networks: methods, models, and classifications,” ACM Computing Surveys, vol. 39, no. 3, article 9, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. N. D. Phung, M. M. Gaber, and U. Röhm, “Resource-aware online data mining in wireless sensor networks,” in Proceedings of the 1st IEEE Symposium on Computational Intelligence and Data Mining (CIDM '07), pp. 139–146, Honolulu, Hawaii, USA, April 2007. View at Publisher · View at Google Scholar · View at Scopus
  7. S.-M. Dima, D. Tsitsipis, C. Antonopoulos, J. Gialelis, and S. Koubias, “FLOGERA: a fuzzy logic event recognition algorithm in a WSN environment,” in Proceedings of the 8th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC '12), pp. 850–855, IEEE, Limassol, Cyprus, August 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. S. M. Dima, C. Panagiotou, D. Tsitsipis, C. Antonopoulos, J. Gialelis, and S. Koubias, “Performance evaluation of a WSN system for distributed event detection using fuzzy logic,” Ad Hoc Networks, vol. 23, pp. 87–108, 2014. View at Publisher · View at Google Scholar · View at Scopus
  9. E. H. Mamdani, “Application of fuzzy algorithms for control of simple dynamic plant,” Proceedings of the Institution of Electrical Engineers, vol. 121, no. 12, pp. 1585–1588, 1974. View at Publisher · View at Google Scholar · View at Scopus
  10. R. R. Yager and D. P. Filev, Essentials of Fuzzy Modeling and Control, John Wiley & Sons, New York, NY, USA, 1994.
  11. P. Manjunatha, A. K. Verma, and A. Srividya, “Multi-sensor data fusion in cluster based wireless sensor networks using fuzzy logic method,” in Proceedings of the IEEE Region 10 and the 3rd International Conference on Industrial and Information Systems (ICIIS '08), pp. 1–6, Kharagpur, India, December 2008. View at Publisher · View at Google Scholar
  12. L. Zhang, H. Leung, and K. C. C. Chan, “Information fusion based smart home control system and its application,” IEEE Transactions on Consumer Electronics, vol. 54, no. 3, pp. 1157–1165, 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. K. Kapitanova, S. H. Son, and K.-D. Kang, “Using fuzzy logic for robust event detection in wireless sensor networks,” Ad Hoc Networks, vol. 10, no. 4, pp. 709–722, 2012. View at Publisher · View at Google Scholar · View at Scopus
  14. S. A. Munir, Y. W. Bin, R. Biao, and M. Man, “Fuzzy logic based congestion estimation for qos in wireless sensor network,” in Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC '07), pp. 4336–4341, IEEE, Hong Kong, 2007. View at Publisher · View at Google Scholar
  15. M. Marin-Perianu, C. Lombriser, O. Amft, P. J. M. Havinga, and G. Troster, “Distributed activity recognition with fuzzy-enabled wireless sensor networks,” in Distributed Computing in Sensor Systems: 4th IEEE International Conference, DCOSS 2008 Santorini Island, Greece, June 11–14, 2008 Proceedings, vol. 5067 of Lecture Notes in Computer Science, pp. 296–313, Springer, Berlin, Germany, 2008. View at Publisher · View at Google Scholar
  16. A. G. Dharne, J. Lee, and S. Jayasuriya, “Using Fuzzy Logic for localization in mobile sensor networks: simulations and experiments,” in Proceedings of the American Control Conference, pp. 2066–2071, IEEE, Minneapolis, Minn, USA, June 2006. View at Scopus
  17. A. Barati, S. J. Dastgheib, and A. Movaghar, “An effective fuzzy based algorithm to detect faulty readings in long thin wireless sensor networks,” International Journal on Technical and Physical Problems of Engineering, vol. 10, no. 4, pp. 52–58, 2012. View at Google Scholar
  18. Y. Tian, Y. Gu, E. Ekici, and F. Ozguner, “Dynamic critical-path task mapping and scheduling for collaborative in-network processing in multi-hop wireless sensor networks,” in Proceedings of the International Conference on Parallel Processing Workshops (ICPP '06), p. 222, Columbus, Ohio, USA, 2006. View at Publisher · View at Google Scholar
  19. L. Zhigang, L. Shining, Z. Xingshe, and Y. Zhiyi, “Energy-efficient task allocation for data fusion in wireless sensor networks,” in Proceedings of the 6th Annual International Mobile and Ubiquitous Systems: Networking Services (MobiQuitous '09), pp. 1–6, November 2009. View at Publisher · View at Google Scholar
  20. J. Jinghua Zhu, J. Li, and H. Gao, “Tasks allocation for real-time applications in heterogeneous sensor networks for energy minimization,” in Proceedings of the 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD '07), vol. 2, pp. 20–25, IEEE, Qingdao, China, 2007. View at Publisher · View at Google Scholar
  21. H. Park and M. B. Srivastava, “Energy-efficient task assignment framework for wireless sensor networks,” Tech. Rep., 2003. View at Google Scholar
  22. F. Wang, G. Han, J. Jiang, and H. Qiu, “A distributed task allocation strategy for collaborative applications in cluster-based wireless sensor networks,” International Journal of Distributed Sensor Networks, vol. 2014, Article ID 964595, 16 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
  23. F. Bouhafs, M. Merabti, and H. Mokhtar, “A semantic clustering routing protocol for wireless sensor networks,” in Proceedings of the 3rd IEEE Consumer Communications and Networking Conference (CCNC '06), vol. 1, pp. 351–355, IEEE, Las Vegas, Nev, USA, January 2006. View at Publisher · View at Google Scholar · View at Scopus
  24. L. Mottola and G. P. Picco, “Logical neighborhoods: a programming abstraction for wireless sensor networks,” in Distributed Computing in Sensor Systems, P. B. Gibbons, T. Abdelzaher, J. Aspnes, and R. Rao, Eds., vol. 4026 of Lecture Notes in Computer Science, pp. 150–168, Springer, Berlin, Germany, 2006. View at Publisher · View at Google Scholar
  25. A. R. Rocha, L. Pirmez, F. C. Delicato et al., “WSNs clustering based on semantic neighborhood relationships,” Computer Networks, vol. 56, no. 5, pp. 1627–1645, 2012. View at Publisher · View at Google Scholar · View at Scopus
  26. L. Gu, D. Jia, P. Vicaire et al., “Lightweight detection and classification for wireless sensor networks in realistic environments,” in Proceedings of the 3rd ACM International Conference on Embedded Networked Sensor Systems (SenSys '05), pp. 205–217, ACM, November 2005. View at Publisher · View at Google Scholar · View at Scopus
  27. K.-X. Thuc and K. Insoo, “A collaborative event detection scheme using fuzzy logic in clustered wireless sensor networks,” AEU-International Journal of Electronics and Communications, vol. 65, no. 5, pp. 485–488, 2011. View at Publisher · View at Google Scholar · View at Scopus
  28. L. A. Zadeh, “The concept of a linguistic variable and its application to approximate reasoningi,” Information Sciences, vol. 8, no. 3, pp. 199–249, 1975. View at Publisher · View at Google Scholar
  29. J. M. Alonso, L. Magdalena, and S. Guillaume, “Designing highly interpretable fuzzy rule-based systems with integration of expert and induced knowledge,” in Proceedings of the 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU '08), pp. 682–689, Torremolinos, Spain, 2008.
  30. http://www.contiki-os.org/.
  31. http://www.willow.co.uk/html/telosb_mote_platform.php.
  32. J. Eriksson, F. Österlind, N. Finne et al., “COOJA/MSPSim: interoperability testing for wireless sensor networks,” in Proceedings of the 2nd International ICST Conference on Simulation Tools and Techniques (SIMUTools '09), March 2009. View at Publisher · View at Google Scholar · View at Scopus
  33. http://www.ti.com/msp430.
  34. F. Kerasiotis, A. Prayati, C. Antonopoulos, C. Koulamas, and G. Papadopoulos, “Battery lifetime prediction model for a WSN platform,” in Proceedings of the 4th International Conference on Sensor Technologies and Applications (SENSORCOMM '10), pp. 525–530, Venice, Italy, July 2010. View at Publisher · View at Google Scholar · View at Scopus
  35. F. Österlind, A. Dunkels, J. Eriksson, N. Finne, and T. Voigt, “Cross-level sensor network simulation with COOJA,” in Proceedings of the 31st Annual IEEE Conference on Local Computer Networks (LCN '06), pp. 641–648, Tampa, Fla, USA, November 2006. View at Publisher · View at Google Scholar · View at Scopus
  36. http://www.shimmersensing.com/.