Joint Optimization for Visual Data Transmission in the Resource Constraint 5G IoT

With the integration of 5G and Internet Things (IoT), application large-scale IoT devices networking is increasingly extensive, such as building management, property maintenance, autonomous vehicles, healthcare, shopping to tourism. In these scenes, volume data transmission quite large, especially visual (image, video, et al). However, due limited resource devices, battery, power, bandwidth, complex optimize, single objective optimization difficult insure optimal latency, throughput power at same time. this paper, we propose a method jointly optimize allocation in constraint IoT. Instead optimization, combine consumption latency into hybrid model, then low-complexity algorithm solve multiple problem. The simulation results demonstrate that proposed increases comprehensive utility 5G-IoT by 35%-48% compared with existing approaches.