A soft cooperative spectrum sensing in the presence of most destructive smart PUEA using energy detector. (20th April 2018)

• Record Type: Journal Article
• Authors: Emami, Mohammad; Zarrabi, Houman; Jabbarpour, Mohammad Reza; Sadat Taheri, Masumeh; Jung, Jason J.
• Other Names: Piccialli Francesco guestEditor.; Jung Jason J. guestEditor.
• Is Part Of: Concurrency and computation. Volume 30:Number 15(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-04-20
• Subjects: approximation using eigenvalue decomposition -- destructive smart primary user -- error probability of spectrum sensing -- soft cooperative spectrum sensing; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.4524
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: Recently, the growth of Internet of Things (IoT) and its remarkable impacts on human well‐being life style are deniable. On the connectivity side, IoT is highly related to Wireless Sensor Network (WSN) concept. The key elements include the data, which is machine‐produced, specifically by sensors, and the data communication through connectivity technologies. On the security side, primary user emulation attack (PUE) is one of the well‐defined attacks in cognitive radio (CR)–based WSN. Here, we investigate a smart primary user emulation attacker that has the most destructive effect on the spectrum sensing unit of cognitive radio users. To deal with this attack, a soft cooperative spectrum sensing using an energy detector is proposed. In the proposed method, the values of sensing information of each secondary user are sent to a fusion center. Once the values are received, they will be combined with some appropriate coefficients in order to minimize spectrum sensing probability of error for a given probability of false alarm. The coefficients are the variables of a constrained optimization problem. Based on simulation results, our method has a lower error probability in spectrum sensing in comparison to hard combination schemes (eg, OR rule) and soft combination schemes (eg, CSINR method).