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A Fuzzy-Based System for Selection of IoT Devices in Opportunistic Networks Considering IoT Device Storage, Waiting Time and Security Parameters

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Advances in Internet, Data & Web Technologies (EIDWT 2018)

Abstract

The opportunistic networks are a subclass of delay-tolerant networks where communication opportunities (contacts) are intermittent and there is no need to establish an end-to-end link between the communication nodes. The Internet of Things (IoT) present the notion of large networks of connected devices, sharing data about their environments and creating a diverse ecosystem of sensors, actuators, and computing nodes. IoT networks are a departure from traditional enterprise networks in terms of their scale and consist of heterogeneous collections of resource constrained nodes that closely interact with their environment. There are different issues for these networks. One of them is the selection of IoT devices in order to carry out a task in opportunistic networks. In this work, we implement a Fuzzy-Based System for IoT device selection in opportunistic networks. For our system, we use three input parameters: IoT Device Storage (IDST), IoT Device Waiting Time (IDWT) and IoT Device Security (IDSC). The output parameter is IoT Device Selection Decision (IDSD). The simulation results show that the proposed system makes a proper selection decision of IoT-devices in opportunistic networks.

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References

  1. Kraijak, S., Tuwanut, P.: A survey on internet of things architecture, protocols, possible applications, security, privacy, real-world implementation and future trends. In: Proceedings of the IEEE 16th International Conference on Communication Technology (ICCT), pp. 26–31. IEEE (2015)

    Google Scholar 

  2. Arridha, R., Sukaridhoto, S., Pramadihanto, D., Funabiki, N.: Classification extension based on IoT-big data analytic for smart environment monitoring and analytic in real-time system. Int. J. Space-Based Situated Comput. 7(2), 82–93 (2017)

    Article  Google Scholar 

  3. Dhurandher, S.K., Sharma, D.K., Woungang, I., Bhati, S.: HBPR: history based prediction for routing in infrastructure-less opportunistic networks. In: Proceedings of the IEEE 27th International Conference on Advanced Information Networking and Applications (AINA), pp. 931–936. IEEE (2013)

    Google Scholar 

  4. Spaho, E., Mino, G., Barolli, L., Xhafa, F.: Goodput and PDR analysis of AODV, OLSR and DYMO protocols for vehicular networks using CAVENET. Int. J. Grid Util. Comput. 2(2), 130–138 (2011)

    Article  Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  8. 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: Proceedings of the 9-th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2014), pp. 340–346 (2014)

    Google Scholar 

  9. 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: Proceedings of the 16th International Conference on Network-Based Information Systems (NBiS-2013), pp. 156–161 (2013)

    Google Scholar 

  10. 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 

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

    Article  MATH  Google Scholar 

  12. 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: Proceedings of the 29th IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA-2015), pp. 54–60 (2015)

    Google Scholar 

  13. 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: Proceedings of the International Conference on Advanced Information Networking and Applications (AINA-2014), pp. 180–185 (2014)

    Google Scholar 

  14. 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. Humaniz. Comput. 6(5), 635–645 (2015)

    Article  Google Scholar 

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

    Article  Google Scholar 

  16. 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 

  17. 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: Proceedings of the International Conference on Intelligent Networking and Collaborative Systems (INCoS-2014), pp. 157–162 (2014)

    Google Scholar 

  18. 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. Humaniz. Comput. 6(4), 519–529 (2015)

    Article  Google Scholar 

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

    Google Scholar 

  20. 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 

  21. 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 

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

    Article  Google Scholar 

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Correspondence to Miralda Cuka .

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Cuka, M., Elmazi, D., Bylykbashi, K., Spaho, E., Ikeda, M., Barolli, L. (2018). A Fuzzy-Based System for Selection of IoT Devices in Opportunistic Networks Considering IoT Device Storage, Waiting Time and Security Parameters. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-75928-9_8

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