摘要
Abstract
In the Internet of Things(IoT)scenario,in order to meet the constraints of user transmission power and forward capacity,it is necessary to jointly optimize the user's uplink transmission power and the forward capacity of the remote radio unit.However,this process requires battery power to maintain the continuous operation of related equipment.Due to limited battery capacity,it is difficult to provide sufficient and stable energy support,which leads to difficulties in joint resource allocation.Therefore,an IoT joint resource allocation algorithm based on wireless energy transmission is proposed.An IoT communication model is constructed based on wireless energy transmission technology,the energy capture modules are used to capture energy from energy broadcasting stations to provide power for the IoT terminals.In allusion to the constructed IoT communication model,the maximization of the average energy efficiency of the Internet of Things is used as the objective function by taking into account the total resources,energy efficiency,and latency of the IoT.The constraints on task processing power consumption,IoT resources,and base station transmission power are set to construct an IoT joint resource allocation optimization model.The grey wolf optimization algorithm is used to solve the constructed joint resource allocation optimization model and output the optimal resource allocation scheme.The experimental results show that the energy efficiency of allocating IoT joint resources using the proposed method is higher than 15 Mb/J,effectively improving network communication efficiency.关键词
无线能量传输/物联网/联合资源分配/能量捕获模块/灰狼优化算法/通信效率Key words
wireless energy transfer/Internet of Things/joint resource allocation/energy harvesting module/grey wolf optimization algorithm/communication efficiency分类
信息技术与安全科学
