Secure transmission of wireless energy-carrying communication systems for the Internet of Things

Abstract The Internet of Things, as an important part data aggregation, forwarding and control, is often subject to risks such eavesdropping or loss due the huge amount received data. Based on this, this paper introduces GA-LM-BP algorithm, BP network, LM-BP algorithm deep learning optimize by selects most suitable communication mode optimization algorithm. experimental results show that accuracy error GA-LM-BP, algorithms shows a downward trend, from 0.029 0.011; training time reduced 208 mins, speed increased 74%, indicating Excellent performance in security confidentiality transmission Things. In addition, we further analyzed COP, SOP STP verify its reliability safety.