Optimization of cognitive radio secondary base station positioning and operating channel selection for IoT sensor networks

Wen Jinyi; Yang Qin; Anish Prasad Shrestha; Sang Jo Yoo

doi:10.1109/ICTC.2017.8191011

Optimization of cognitive radio secondary base station positioning and operating channel selection for IoT sensor networks

Wen Jinyi, Yang Qin, Anish Prasad Shrestha, Sang Jo Yoo

Inha University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

In our paper, a novel method is proposed to obtain the optimal positions of secondary base stations (SBSs) for cognitive radio Internet of Things (IoT) sensor networks and to select the optimal operating channel in order to maximize the secondary capacity, while also protecting the primary systems. We proposed an appearance probability matrix for secondary IoT sensor devices in order to maximize the supportable number of sensor devices based on the optimal deployment case and probability. We derived fitness functions based on the above objectives and also considered the constraint. The particle swarm optimization (PSO) technique is used to find the best position and operating channel of SBSs.

Original language	English
Title of host publication	International Conference on Information and Communication Technology Convergence
Subtitle of host publication	ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	397-399
Number of pages	3
ISBN (Electronic)	9781509040315
DOIs	https://doi.org/10.1109/ICTC.2017.8191011
State	Published - 12 Dec 2017
Event	8th International Conference on Information and Communication Technology Convergence, ICTC 2017 - Jeju Island, Korea, Republic of Duration: 18 Oct 2017 → 20 Oct 2017

Publication series

Name	International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
Volume	2017-December

Conference

Conference	8th International Conference on Information and Communication Technology Convergence, ICTC 2017
Country/Territory	Korea, Republic of
City	Jeju Island
Period	18/10/17 → 20/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

IoT sensor networks
operating channel selection
optimal positioning
secondary appearance probability
secondary base station

Access to Document

10.1109/ICTC.2017.8191011

Cite this

Jinyi, W., Qin, Y., Shrestha, A. P., & Yoo, S. J. (2017). Optimization of cognitive radio secondary base station positioning and operating channel selection for IoT sensor networks. In International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017 (pp. 397-399). (International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017; Vol. 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTC.2017.8191011

Jinyi, Wen ; Qin, Yang ; Shrestha, Anish Prasad et al. / Optimization of cognitive radio secondary base station positioning and operating channel selection for IoT sensor networks. International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 397-399 (International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017).

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abstract = "In our paper, a novel method is proposed to obtain the optimal positions of secondary base stations (SBSs) for cognitive radio Internet of Things (IoT) sensor networks and to select the optimal operating channel in order to maximize the secondary capacity, while also protecting the primary systems. We proposed an appearance probability matrix for secondary IoT sensor devices in order to maximize the supportable number of sensor devices based on the optimal deployment case and probability. We derived fitness functions based on the above objectives and also considered the constraint. The particle swarm optimization (PSO) technique is used to find the best position and operating channel of SBSs.",

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author = "Wen Jinyi and Yang Qin and Shrestha, {Anish Prasad} and Yoo, {Sang Jo}",

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Jinyi, W, Qin, Y, Shrestha, AP & Yoo, SJ 2017, Optimization of cognitive radio secondary base station positioning and operating channel selection for IoT sensor networks. in International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017. International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017, vol. 2017-December, Institute of Electrical and Electronics Engineers Inc., pp. 397-399, 8th International Conference on Information and Communication Technology Convergence, ICTC 2017, Jeju Island, Korea, Republic of, 18/10/17. https://doi.org/10.1109/ICTC.2017.8191011

Optimization of cognitive radio secondary base station positioning and operating channel selection for IoT sensor networks. / Jinyi, Wen; Qin, Yang; Shrestha, Anish Prasad et al.
International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 397-399 (International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017; Vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In our paper, a novel method is proposed to obtain the optimal positions of secondary base stations (SBSs) for cognitive radio Internet of Things (IoT) sensor networks and to select the optimal operating channel in order to maximize the secondary capacity, while also protecting the primary systems. We proposed an appearance probability matrix for secondary IoT sensor devices in order to maximize the supportable number of sensor devices based on the optimal deployment case and probability. We derived fitness functions based on the above objectives and also considered the constraint. The particle swarm optimization (PSO) technique is used to find the best position and operating channel of SBSs.

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Jinyi W, Qin Y, Shrestha AP, Yoo SJ. Optimization of cognitive radio secondary base station positioning and operating channel selection for IoT sensor networks. In International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 397-399. (International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017). doi: 10.1109/ICTC.2017.8191011

Optimization of cognitive radio secondary base station positioning and operating channel selection for IoT sensor networks

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Bibliographical note

Keywords

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