Bacteria-inspired communication mechanism based on software-defined network
Yao‐Chung Chang, Wei-Xuan Cai, Jin-Wei Jhuang · 2018
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.