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Application of fuzzy logic for IoT node elimination and selection in opportunistic networks: performance evaluation of two fuzzy-based systems

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Abstract

Opportunistic Networks (OppNets) are a sub-class of DTN, designed as a specialized ad hoc network suitable for applications such as emergency responses. Unlike traditional networks, in OppNets communication opportunities are intermittent, so an end-to-end path between the source and the destination may never exist. Existing networks have already brought connectivity to a broad range of devices, such as hand held devices, laptops, tablets, PC, etc. The Internet of Things (IoT) will extend the connectivity to devices beyond just mobile phones and laptops, but to buildings, wearable devices, cars, different things and objects. One of the issues for these networks is the selection of the IoT nodes to carry out a task in OppNets. In this work, we implement two Fuzzy-Based Systems: Node Elimination System (NES) and Node Selection System (NSS) for IoT node elimination and selection in OppNets. We use three input parameters for NES: Node’s Distance to Event (NDE), Node’s Battery Level (NBL), Node’s Free Buffer Space (NFBS) and four input parameters for NSS: Node’s Number of Past Encounters (NNPE), Node’s Unique Encounters (NUE), Node Inter Contact Time (NICT), Node Contact Duration (NCD). The output parameter is IoT Node Selection Possibility (NSP). The results show that the proposed systems make a proper elimination and selection decision for IoT nodes in OppNets.

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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

    Miralda Cuka, Donald Elmazi, Makoto Ikeda, Keita Matsuo & Leonard Barolli

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

    Makoto Takizawa

Authors
  1. Miralda Cuka
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  2. Donald Elmazi
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  3. Makoto Ikeda
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  4. Keita Matsuo
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  5. Leonard Barolli
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  6. Makoto Takizawa
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Correspondence to Miralda Cuka.

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This article belongs to the Topical Collection: Special Issue on Intelligent Fog and Internet of Things (IoT)-Based Services

Guest Editors: Farookh Hussain, Wenny Rahayu, and Makoto Takizawa

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Cuka, M., Elmazi, D., Ikeda, M. et al. Application of fuzzy logic for IoT node elimination and selection in opportunistic networks: performance evaluation of two fuzzy-based systems. World Wide Web 24, 929–940 (2021). https://doi.org/10.1007/s11280-020-00835-6

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  • DOI: https://doi.org/10.1007/s11280-020-00835-6

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