QoS区分的无线通信仿生建模

Bio-inspired Model for Wireless Communications with Differential QoS

为了实现动态网络环境下的自适应QoS区分服务,提出了QoS区分的无线通信仿生竞争模型,模型借用LV(Lotka-Volterra)生物竞争模型的思想,建立生态系统与无线网络之间的映射关系,同时结合IEEE 802.11e协议设置不同优先级,并将模型瞬时输出值和稳态输出值作为各数据流的发送速率.与传统的QoS区分服务机制EDCA相比,显著提高了网络系统自适应性和快速收敛性,对突发数据流具有很强的抗扰动性,同时有效改善了数据传输友好性,避免了网络拥塞.

To solve the different Quality of Services（QoS）for data flows over wireless networks,based on the classical LV（Lotka-Volterra）model,this paper proposes a bio-inspired competition models for differential QoS services.The mapping relationship between wireless networks and ecosystem is set up.Traffic flows will be assigned with different priorities according to IEEE 802.11e protocol,and its sending rate can be calculated as the output of the proposed model through limited iterations（e.g,instantaneous value and steady-state value）.The simulation results reveal that the proposed model achieves better performance than EDCA in terms of adaptability,scalability and fairness.