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Bacteria-inspired communication mechanism based on software-defined network

机译:基于软件定义网络的细菌启发性通信机制

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Due to the limited resources of a mobile communication network, the advanced technology Software Defined Network (SDN) with higher performance and network services would be adopted to cope with growing traffic loading for IoT in the future Generation Mobile Networks. Meanwhile, with the growth of the communication and processing capacity of the Internet of Things (IoT), the sensor devices develop rapidly in agricultural applications and environments. In this study, agricultural sensors deploy based on the SDN and IoT network architecture first. The Genetic Algorithm (GA) combined with Bacteria-Inspired Network (BIN) is proposed in this work to calculate the data path and find the best routing that confirms the QoS of agricultural requirements. Numerical results show that the proposed method provides a reliable QoS architecture for IoT sensors and reduces the end-to-end communication in SDWBIN Network.
机译:由于移动通信网络的资源有限,将采用具有更高性能和网络服务的高级技术软件定义的网络(SDN)来应对未来一代移动网络中的IOT的流量负荷增长。同时,随着事物互联网的通信和处理能力的增长,传感器设备在农业应用和环境中迅速发展。在本研究中,农业传感器首先基于SDN和IOT网络架构部署。在这项工作中提出了与细菌启发网络(BIN)结合的遗传算法(GA),以计算数据路径并找到确认农业要求QoS的最佳路由。数值结果表明,该方法为物联网传感器提供了可靠的QoS架构,并减少了SDWBIN网络中的端到端通信。

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