Abstract
In opportunistic networks the communication opportunities (contacts) are intermittent and there is no need to establish an end-to-end link between the communication nodes. The enormous growth of nodes having access to the Internet, along the vast evolution of the Internet and the connectivity of objects and nodes, has evolved as Internet of Things (IoT). There are different issues for these networks. One of them is the selection of IoT nodes in order to carry out a task in opportunistic networks. In this work, we implement a Fuzzy-Based System for IoT node selection in opportunistic networks. For our proposed system, we use four input parameters: Node’s Distance from Task (NDT), Node’s Remaining Energy (NRE), Node’s Buffer Occupancy (NBO) and Node Inter Contact Time (NICT). The output parameter is Node Selection Decision (NSD). We also implemented a testbed with the same input and output parameters and compared its results with the simulation results. The results show that the proposed system makes a proper selection decision of IoT nodes in opportunistic networks. The IoT node selection is increased up to 40% and decreased 38% by decreasing NBO and increasing NICT, respectively.
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Cuka, M., Elmazi, D., Matsuo, K., Ikeda, M., Barolli, L. (2020). A Fuzzy-Based Simulation System for IoT Node Selection in Opportunistic Networks and Testbed Implementation. In: Barolli, L., Hellinckx, P., Enokido, T. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2019. Lecture Notes in Networks and Systems, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-030-33506-9_4
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