基于网络情景意识的认知无线网络知识库构建研究

Construction of Database in Cognitive Wireless Network Based on Network Situation-Aware

  • 摘要: 如何实现认知能力是认知无线网络实现的关键。采用网络情景意识知识库和案例推理相结合来实现认知能力目前得到了广泛的研究。该文着重对无固定设施的无线网络如自组织网如何构建网络情景意识知识库进行研究。结合某自组织网络,从网络情景意识和网络的协议重配置能力两个方面,提出采用NSGA-Ⅱ的多目标优化算法和模糊判决相结合的方法来生成认知无线网络的知识库。仿真结果表明:随着信道质量和网络业务负载的变化,采用学习机制对网络采取跨层重配置以后,网络传输平均时延大约可以减小为网络最差性能的50%以上,网络呼叫成功率可达100%,网络吞吐量可以提高20%左右。

     

    Abstract: How to realize the cognitive capability is a key point to realize the cognitive wireless network. At present the method that combines network situation-aware database with case based reasoning (CBR) is received much attention. The construction of database in cognitive wireless network based on network situation-aware is deeply investigated in unfixed establishment network such as Ad hoc. The combination of NSGA-Ⅱand fuzzy decision is applied to constructing the Database in Cognitive Wireless Network from the aspect of network situation-aware and protocol configuration. Simulation result shows that: when adopting the mechanism of reconfiguration, the average time delay of the network will decrease to 50% above that of worst performance; the ratio of calling success will increase to 100%, and the throughput of the network will increase to 20%.

     

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