Efficient Byzantine Defense Algorithm for Cooperative Spectrum Sensing in Cognitive Radio Networks

Attack-Aware Cooperative Spectrum Sensing in Cognitive Radio Networks under Byzantine Attack

Cooperative Spectrum Sensing (CSS) is an effective approach to overcome the impact of multi-path fading and shadowing issues. The reliability of CSS can be severely degraded under Byzantine attack, which may be caused by either malfunctioning sensing terminals or malicious nodes. Almost, the previous studies have not analyzed and considered the attack in their models. The present study introduc...

Energy-Efficient Cooperative Spectrum Sensing for Cognitive Radio Networks

One of the main problems of Cooperative Spectrum Sensing (CSS) in cognitive radio networks is the high energy consumption. Energy is consumed while sensing the spectrum and reporting the results to the fusion centre. In this chapter, a novel partial CSS is proposed. The main concern is to reduce the energy consumption by limiting the number of participating users in CSS. Particularly, each user...

Energy-efficient cooperative spectrum sensing schemes for cognitive radio networks

Rapidly rising energy costs and increasingly rigid environmental standards have led to an emerging trend of addressing “energy efficiency” aspect of wireless communication technologies. Cognitive radio can play an important role in improving energy efficiency in wireless networks, because from the green perspective, spectrum is a natural resource which should not be wasted but be shared. In thi...

Optimal Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks

Inspired by the green communication trend of next-generation wireless networks, we select energy-efficient throughput as optimization metric for jointly optimizing sensing time and working sensors in cooperative cognitive radio networks. Specifically, an iterative algorithm is proposed to obtain the optimal values for these two parameters. Specifically, the proposed iterative algorithm is low c...

Towards Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks