Secure Minimum-Energy Multicast Tree Based on Trust Mechanism for Cognitive Radio Networks

Authors:
Jiwen Guo;Xianwei Zhou;Xuna Miao;Zhaoyu Zhang
Affiliations:
Department of Communication Engineering, School of Computer and Communication Engineering, University Science and Technology of Beijing, Beijing, People's Republic of China 100083;Department of Communication Engineering, School of Computer and Communication Engineering, University Science and Technology of Beijing, Beijing, People's Republic of China 100083;Department of Communication Engineering, School of Computer and Communication Engineering, University Science and Technology of Beijing, Beijing, People's Republic of China 100083;Department of Communication Engineering, School of Computer and Communication Engineering, University Science and Technology of Beijing, Beijing, People's Republic of China 100083
Venue:
Wireless Personal Communications: An International Journal
Year:
2012

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Abstract

In Cognitive Radio (CR) networks, the non-cooperative behavior is an inherent security issue because it is necessary to realize many functions by means of cooperation, such as spectrum sensing. Then it is important to guarantee the support of cooperation between nodes on multicast communication. In this paper, first the multicast model with optimizing energy use is shown, in which consists of many multicast units. By considering the power consumption concerning spectrum sensing and data transmission, the multicast problem with optimizing energy use is translated into a 0-1 integer programming problem. Secondly, the trust values are calculated by the Bayesian theorem in CR networks. In order to improve the stability of trust mechanism, the new trust values are modified by the iterative control criterion. Finally, a secure minimum-energy multicast (SMEM) algorithm is proposed to ensure multicast communication, and the following example is shown to explain it. The simulation and analysis show that the time complexity of our proposed algorithm is polynomial. Moreover, with the increase of destination nodes, the SMEM algorithm is more effective than the distributed Dist-Implement models of adjustable transmission power in energy utilization.