多跳认知蜂窝网络中基于上下文感知的安全频谱交易
Exploiting Context-Awareness for Secure Spectrum Trading in Multi-hop Cognitive Cellular Networks
摘要：
在本文中，我们考虑上下文感知，以提高路由的可靠性和鲁棒性在多跳认知网络。提出了一种新的上下文感知路由发现协议，使次级用户能够根据自己的QoS要求选择路由。该协议有利于相邻中继选择不同的标准下，如最短可用路径，路由可靠性和中继信誉。新的路由和安全为基础的指标定义来衡量路由鲁棒性的空间，频率和时间域。提供安全吞吐量，定义为网络中未被拦截的流量的百分比。然后通过联合优化安全吞吐量和交易价格来获得交易所需的资源。仿真结果表明，当主辅网络之间存在因子4的流量不平衡时，需要4个信道才能在辅网络中实现90%的链路可靠性和99%的安全吞吐量。此外，当中继信誉从0.5到0.9变化时，观察到所需资源的20%变化。
英文摘要：
In this paper, we consider context-awareness to enhance route reliability and robustness in multi-hop cognitive networks. A novel context-aware route discovery protocol is presented to enable secondary users to select the route according to their QoS requirements. The protocol facilitates adjacent relay selection under different criteria, such as shortest available path, route reliability and relay reputation. New routing and security-based metrics are defined to measure route robustness in spatial, frequency and temporal domains. Secure throughput, defined as the percentage of traffic not being intercepted in the network, is provided. The resources needed for trading are then obtained by jointly optimizing secure throughput and trading price. Simulation results show that when there is a traffic imbalance of factor 4 between the primary and secondary networks, 4 channels are needed to achieve 90% link reliability and 99% secure throughput in the secondary network. Besides, when relay reputation varies from 0.5 to 0.9, a 20% variation in the required resources is observed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
