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International Conference on Emerging Internetworking, Data & Web Technologies

EIDWT 2019: Advances in Internet, Data and Web Technologies pp 25–38Cite as

A Fuzzy-Based System for Selection of Actor Nodes in WSANs Considering Actor Reliability and Load Distribution

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 29))

Abstract

Wireless Sensor and Actor Network (WSAN) is formed by the collaboration of micro-sensor and actor nodes. The sensor nodes have responsibility to sense an event and send information towards an actor node. The actor node is responsible to take prompt decision and react accordingly. In order to provide effective sensing and acting, a distributed local coordination mechanism is necessary among sensors and actors. In this work, we consider the actor node selection problem and propose a fuzzy-based system (FBS) that based on data provided by sensors and actors selects an appropriate actor node. We use 4 input parameters: Number of Sensors per Actor (NSA), Distance to Event (DE), Remaining Energy (RE) and Actor Reliability (AR) as new parameter. The output parameter is Actor Selection Decision (ASD). Considering NSA parameter, the ASD has better values when NSA is medium. Thus, when the NSA value is 0.5 the load is distributed better and in this situation the possibility for the actor to be selected is high. Also, for higher values of AR, the actor is selected with high possibility.

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References

  1. Akyildiz, I.F., Kasimoglu, I.H.: Wireless sensor and actor networks: research challenges. Ad Hoc Netw. J. 2(4), 351–367 (2004)

    Article  Google Scholar 

  2. Akyildiz, I., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. Computer Netw. 38(4), 393–422 (2002)

    Article  Google Scholar 

  3. Boyinbode, O., Le, H., Takizawa, M.: A survey on clustering algorithms for wireless sensor networks. Int. J. Space Based Situated Comput. 1(2/3), 130–136 (2011)

    Article  Google Scholar 

  4. Bahrepour, M., Meratnia, N., Poel, M., Taghikhaki, Z., Havinga, P.J.: Use of wireless sensor networks for distributed event detection in disaster managment applications. Int. J. Space Based Situated Comput. 2(1), 58–69 (2012)

    Article  Google Scholar 

  5. Haider, N., Imran, M., Saad, N., Zakariya, M.: Performance analysis of reactive connectivity restoration algorithms for wireless sensor and actor networks. In: IEEE Malaysia International Conference on Communications (MICC-2013), pp. 490–495, November 2013

    Google Scholar 

  6. Abbasi, A., Younis, M., Akkaya, K.: Movement-assisted connectivity restoration in wireless sensor and actor networks. IEEE Trans. Parallel Distrib. Syst. 20(9), 1366–1379 (2009)

    Article  Google Scholar 

  7. Li, X., Liang, X., Lu, R., He, S., Chen, J., Shen, X.: Toward reliable actor services in wireless sensor and actor networks. In: IEEE 8th International Conference on Mobile Adhoc and Sensor Systems (MASS), pp. 351–360, October 2011

    Google Scholar 

  8. Akkaya, K., Younis, M.: COLA: a coverage and latency aware actor placement for wireless sensor and actor networks. In: IEEE 64th Conference on Vehicular Technology (VTC-2006) Fall, pp. 1–5, September 2006

    Google Scholar 

  9. Kakarla, J., Majhi, B.: A new optimal delay and energy efficient coordination algorithm for WSAN. In: IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS), pp. 1–6, December 2013

    Google Scholar 

  10. Elmazi, D., Cuka, M., Ikeda, M., Barolli, L.: A fuzzy-based system for actor node selection in WSANs for improving network connectivity and increasing number of covered sensors. In: The 21st International Conference on Network-Based Information Systems (NBiS-2018) (2018)

    Google Scholar 

  11. Akbas, M., Turgut, D.: APAWSAN: actor positioning for aerial wireless sensor and actor networks. In: IEEE 36th Conference on Local Computer Networks (LCN), pp. 563–570, October 2011

    Google Scholar 

  12. Akbas, M., Brust, M., Turgut, D.: Local positioning for environmental monitoring in wireless sensor and actor networks. In: IEEE 35th Conference on Local Computer Networks (LCN), pp. 806–813, October 2010

    Google Scholar 

  13. Melodia, T., Pompili, D., Gungor, V., AkyildizZX, I.: Communication and coordination in wireless sensor and actor networks. IEEE Trans. Mob. Comput. 6(10), 1126–1129 (2007)

    Article  Google Scholar 

  14. Gungor, V., Akan, O., Akyildiz, I.: A real-time and reliable transport (RT) 2 protocol for wireless sensor and actor networks. IEEE/ACM Trans. Networking 16(2), 359–370 (2008)

    Article  Google Scholar 

  15. Selvaradjou, K., Handigol, N., Franklin, A., Murthy, C.: Energy-efficient directional routing between partitioned actors in wireless sensor and actor networks. IET Commun. 4(1), 102–115 (2010)

    Article  Google Scholar 

  16. Nakayama, H., Fadlullah, Z., Ansari, N., Kato, N.: A novel scheme for WSAN sink mobility based on clustering and set packing techniques. IEEE Trans. Autom. Control 56(10), 2381–2389 (2011)

    Article  MathSciNet  Google Scholar 

  17. Inaba, T., Sakamoto, S., Kolici, V., Mino, G., Barolli, L.: A CAC scheme based on fuzzy logic for cellular networks considering security and priority parameters. In: The 9th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2014), pp. 340–346 (2014)

    Google Scholar 

  18. Spaho, E., Sakamoto, S., Barolli, L., Xhafa, F., Barolli, V., Iwashige, J.: A fuzzy-based system for peer reliability in JXTA-overlay P2P considering number of interactions. In: The 16th International Conference on Network-Based Information Systems (NBiS-2013), pp. 156–161 (2013)

    Google Scholar 

  19. Matsuo, K., Elmazi, D., Liu, Y., Sakamoto, S., Mino, G., Barolli, L.: FACS-MP: a fuzzy admission control system with many priorities for wireless cellular networks and its performance evaluation. J. High Speed Netw. 21(1), 1–14 (2015)

    Article  Google Scholar 

  20. Grabisch, M.: The application of fuzzy integrals in multicriteria decision making. Eur. J. Oper. Res. 89(3), 445–456 (1996)

    Article  MathSciNet  Google Scholar 

  21. Inaba, T., Elmazi, D., Liu, Y., Sakamoto, S., Barolli, L., Uchida, K.: Integrating wireless cellular and ad-hoc networks using fuzzy logic considering node mobility and security. In: The 29th IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA-2015), pp. 54–60 (2015)

    Google Scholar 

  22. Kulla, E., Mino, G., Sakamoto, S., Ikeda, M., Caballé, S., Barolli, L.: FBMIS: a fuzzy-based multi-interface system for cellular and ad hoc networks. In: International Conference on Advanced Information Networking and Applications (AINA-2014), pp. 180–185 (2014)

    Google Scholar 

  23. Elmazi, D., Kulla, E., Oda, T., Spaho, E., Sakamoto, S., Barolli, L.: A comparison study of two fuzzy-based systems for selection of actor node in wireless sensor actor networks. J. Ambient Intell. Humanized Comput. 6(5), 635–645 (2015)

    Article  Google Scholar 

  24. Zadeh, L.: Fuzzy logic, neural networks, and soft computing. Commun. ACM 37, 77–84 (1994)

    Article  Google Scholar 

  25. Spaho, E., Sakamoto, S., Barolli, L., Xhafa, F., Ikeda, M.: Trustworthiness in P2P: performance behaviour of two fuzzy-based systems for JXTA-overlay platform. Soft Comput. 18(9), 1783–1793 (2014)

    Article  Google Scholar 

  26. Inaba, T., Sakamoto, S., Kulla, E., Caballe, S., Ikeda, M., Barolli, L.: An integrated system for wireless cellular and ad-hoc networks using fuzzy logic. In: International Conference on Intelligent Networking and Collaborative Systems (INCoS-2014), pp. 157–162 (2014)

    Google Scholar 

  27. Matsuo, K., Elmazi, D., Liu, Y., Sakamoto, S., Barolli, L.: A multi-modal simulation system for wireless sensor networks: a comparison study considering stationary and mobile sink and event. J. Ambient Intell. Humanized Comput. 6(4), 519–529 (2015)

    Article  Google Scholar 

  28. Kolici, V., Inaba, T., Lala, A., Mino, G., Sakamoto, S., Barolli, L.: A fuzzy-based CAC scheme for cellular networks considering security. In: International Conference on Network-Based Information Systems (NBiS-2014), pp. 368–373 (2014)

    Google Scholar 

  29. Liu, Y., Sakamoto, S., Matsuo, K., Ikeda, M., Barolli, L., Xhafa, F.: A comparison study for two fuzzy-based systems: improving reliability and security of JXTA-overlay P2P platform. Soft Comput. 20(7), 2677–2687 (2015)

    Article  Google Scholar 

  30. Matsuo, K., Elmazi, D., Liu, Y., Sakamoto, S., Mino, G., Barolli, L.: FACS-MP: a fuzzy admission control system with many priorities for wireless cellular networks and its perforemance evaluation. J. High Speed Netw. 21(1), 1–14 (2015)

    Article  Google Scholar 

  31. Mendel, J.M.: Fuzzy logic systems for engineering: a tutorial. Proc. IEEE 83(3), 345–377 (1995)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Donald Elmazi, Makoto Ikeda & Leonard Barolli

  2. Graduate School of Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka, 811-0295, Japan

    Miralda Cuka

  3. Department of Advanced Sciences, Hosei University, 2-17-1 Fujimi, Chiyoda, Tokyo, 102-8160, Japan

    Makoto Takizawa

Authors
  1. Donald Elmazi
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  2. Miralda Cuka
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  3. Makoto Ikeda
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  4. Leonard Barolli
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  5. Makoto Takizawa
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Corresponding author

Correspondence to Donald Elmazi .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  3. Computer Information Science (CIS), Higher Colleges of Technology, Fujairah Campus, Fujairah, United Arab Emirates

    Zahoor Ali Khan

  4. Faculty of Computer Information Science, Higher Colleges of Technology, Dubai Campus, Dubai, United Arab Emirates

    Hamad Odhabi

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Elmazi, D., Cuka, M., Ikeda, M., Barolli, L., Takizawa, M. (2019). A Fuzzy-Based System for Selection of Actor Nodes in WSANs Considering Actor Reliability and Load Distribution. In: Barolli, L., Xhafa, F., Khan, Z., Odhabi, H. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-030-12839-5_3

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