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A Fuzzy-Based System for Selection of IoT Devices in Opportunistic Networks Considering IoT Device Contact Duration, Storage and Remaining Energy

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Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 773))

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Abstract

The OppNets 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) is the network of devices, vehicles, buildings and other items embedded with software, electronics, sensors and network connectivity that enables these objects to collect and exchange data. 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 Contact Duration (IDCD), IoT Device Storage (IDST) and IoT Device Remaining Energy (IDRE). The output parameter is IoT Device Selection Decision (IDSD). The simulation results show that the proposed system makes a proper selection decison of IoT-devices in opportunistic networks. The IoT device selection is increased up to 19% and 53% by increasing IDCD and IDRE respectively.

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Author information

Authors and Affiliations

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

    Miralda Cuka & Donald Elmazi

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

    Keita Matsuo, Makoto Ikeda & Leonard Barolli

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

Correspondence to Miralda Cuka .

Editor information

Editors and Affiliations

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

    Leonard Barolli

  2. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  3. Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan

    Nadeem Javaid

  4. Rissho University, Tokyo, Japan

    Tomoya Enokido

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Cuka, M., Elmazi, D., Matsuo, K., Ikeda, M., Barolli, L. (2019). A Fuzzy-Based System for Selection of IoT Devices in Opportunistic Networks Considering IoT Device Contact Duration, Storage and Remaining Energy. In: Barolli, L., Xhafa, F., Javaid, N., Enokido, T. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2018. Advances in Intelligent Systems and Computing, vol 773. Springer, Cham. https://doi.org/10.1007/978-3-319-93554-6_6

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