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Cooperative Optimization QoS Cloud Routing Protocol Based on Bacterial Opportunistic Foraging and Chemotaxis Perception for Mobile Internet

机译:基于细菌机会觅食和趋化感知的移动互联网协同优化QoS云路由协议

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In order to strengthen the mobile Internet mobility management and cloud platform resources utilization, optimizing the cloud routing efficiency is established, based on opportunistic bacterial foraging bionics, and puts forward a chemotaxis perception of collaborative optimization QoS (Quality of Services) cloud routing mechanism. The cloud routing mechanism is based on bacterial opportunity to feed and bacterial motility and to establish the data transmission and forwarding of the bacterial population behavior characteristics. This mechanism is based on the characteristics of drug resistance of bacteria and the structure of the field, and through many iterations of the individual behavior and population behavior the bacteria can be spread to the food gathering area with a certain probability. Finally, QoS cloud routing path would be selected and optimized based on bacterial bionic optimization and hedge mapping relationship between mobile Internet node and bacterial population evolution iterations. Experimental results show that, compared with the standard dynamic routing schemes, the proposed scheme has shorter transmission delay, lower packet error ratio, QoS cloud routing loading, and QoS cloud route request overhead.
机译:为了加强移动互联网的移动性管理和云平台资源的利用,建立了基于机会细菌仿生的优化云路由效率,并提出了协同优化QoS(QoS)云路由机制的趋化感知。云路由机制基于细菌进食和细菌运动的机会,并建立细菌种群行为特征的数据传输和转发。该机制基于细菌的耐药性特征和田间结构,并且通过个体行为和种群行为的多次迭代,细菌可以一定的概率传播到集食区。最后,将基于细菌仿生优化和移动互联网节点与细菌种群进化迭代之间的树篱映射关系来选择和优化QoS云路由路径。实验结果表明,与标准动态路由方案相比,该方案具有更短的传输延迟,更低的误包率,QoS云路由负载和QoS云路由请求开销。

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