A soft cooperative spectrum sensing in the presence of most destructive smart PUEA using energy detector

作者：Emami Mohammad; Zarrabi Houman; Jabbarpour Mohammad Reza^*; Taheri Masumeh Sadat; Jung Jason J

来源：Concurrency and Computation: Practice and Experience (CCPE) , 2018, 30(15): e4524.

DOI：10.1002/cpe.4524

• approximation using eigenvalue decomposition
• destructive smart primary user
• error probability of spectrum sensing
• soft cooperative spectrum sensing

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).

• 出版日期2018-8-10