Abstract
The opportunistic networks are the variants of Delay Tolerant Networks (DTNs). These networks can be useful for routing in places where there are few base stations and connected routes for long distances. In an opportunistic network, when nodes move away or turn off their power to conserve energy, links may be disrupted or shut down periodically. These events result in intermittent connectivity. When there is no path existing between the source and the destination, the network partition occurs. Therefore, nodes need to communicate with each other via opportunistic contacts through store-carry-forward operation. In this work, we consider the IoT device selection problem in opportunistic networks and we propose and implement two Fuzzy Based Systems (FBS): FBS1 and FBS2 for IoT Device Selection in Opportunistic Networks. We evaluate the performance of the proposed system by simulations. We evaluated the proposed systems by computer simulations. Comparing FBS1 with FBS2, the FBS2 is more complex than FBS1, because it has more rules in FRB, but using FBS2 a better actor node can be selected, because the IDST is high.
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Acknowledgement
This research is partially supported by The Telecommunications Advancement Foundation (TAF). The first author would like to thank TAF for the financial support.
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Cuka, M., Elmazi, D., Oda, T., Kulla, E., Ikeda, M., Barolli, L. (2018). Effect of Storage Size on IoT Device Selection in Opportunistic Networks: A Comparison Study of Two Fuzzy-Based Systems. In: Barolli, L., Xhafa, F., Conesa, J. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-69811-3_9
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DOI: https://doi.org/10.1007/978-3-319-69811-3_9
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