A Genetic Algorithm-Based Soft Decision Fusion Scheme in Cognitive IoT Networks with Malicious Users
Joint Authors
Gul, Noor
Khan, Muhammad Sajjad
Kim, Su Min
Kim, Junsu
Qureshi, Ijaz Mansoor
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Internet of Things (IoT) is a new challenging paradigm for connecting a variety of heterogeneous networks.
Since its introduction, many researchers have been studying how to efficiently exploit and manage spectrum resource for IoT applications.
An explosive increase in the number of IoT devices accelerates towards the future-connected society but yields a high system complexity.
Cognitive radio (CR) technology is also a promising candidate for future wireless communications.
CR via dynamic spectrum access provides opportunities to secondary users (SUs) to access licensed spectrum bands without interfering primary users by performing spectrum sensing before accessing available spectrum bands.
However, multipath effects can degrade the sensing capability of an individual SU.
Therefore, for more precise sensing, it is helpful to exploit multiple collaborative sensing users.
The main problem in cooperative spectrum sensing is the presence of inaccurate sensing information received from the multipath-affected SUs and malicious users at a fusion center (FC).
In this paper, we propose a genetic algorithm-based soft decision fusion scheme to determine the optimum weighting coefficient vector against SUs’ sensing information.
The weighting coefficient vector is further utilized in a soft decision rule at FC in order to make a global decision.
Through extensive simulations, the effectiveness of the proposed scheme is evaluated compared with other conventional schemes.
American Psychological Association (APA)
Khan, Muhammad Sajjad& Gul, Noor& Kim, Junsu& Qureshi, Ijaz Mansoor& Kim, Su Min. 2020. A Genetic Algorithm-Based Soft Decision Fusion Scheme in Cognitive IoT Networks with Malicious Users. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214345
Modern Language Association (MLA)
Khan, Muhammad Sajjad…[et al.]. A Genetic Algorithm-Based Soft Decision Fusion Scheme in Cognitive IoT Networks with Malicious Users. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1214345
American Medical Association (AMA)
Khan, Muhammad Sajjad& Gul, Noor& Kim, Junsu& Qureshi, Ijaz Mansoor& Kim, Su Min. A Genetic Algorithm-Based Soft Decision Fusion Scheme in Cognitive IoT Networks with Malicious Users. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214345
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214345