[Poster Presentation] Software-Defined Wireless Bacteria-Inspired Network for IoT Agricultural Application

摘要

Owing to the limited resources available to mobile communication networks, Software-Defined Networks (SDN) with higher performance and better network services should be adopted to cope with the growing traffic load that is associated with the Internet of Things (IoT). Meanwhile, the growth of communication and the processing capacity of the IoT, sensor devices with agricultural and environmental applications are being rapidly developed. In this work, agricultural sensors based on the SDN and IoT network architecture are deployed. A Genetic Algorithm (GA) is combined with the Bacteria-Inspired Network (BIN) to calculate the data path and find the best routing path that satisfies agricultural QoS requirements. Numerical results demonstrate that the proposed method provides a reliable QoS architecture for IoT sensors and reduces the amount of end-to-end communication in the SDWBIN Network.