适于无线可充电传感网络的节点优化部署

针对现有无线可充电传感网络的节点优化部署方法中存在的收信能量估计模型未考虑实际商用天线的定向辐射特征、优化目标未考虑节点部署方式对定位精度和覆盖程度的影响、节点部署方法寻优精度有待进一步提升等问题,研究适于无线可充电传感网络的新型节点优化部署方法.以精确估计收信能量为目标,提出基于双偶极子天线的收信能量估计模型;提出传...

Node optimal deployment for wireless chargeable sensor networks

Aiming at the problems of wireless chargeable sensor networks node deployment methods such as the received energy estimation model does not consider the directional radiation characteristics of actual commercial antennas,the optimization goal does not consider the impacts of nodes deployment on positioning accuracy and coverage,and the optimization performance of the node deployment method needs to be further improved,the novel nodes deployment optimization method for wireless chargeable sensor networks is studied.Aiming at achieving the accurate estimation of received energy,the received energy estimation model based on a dual dipole antenna is proposed.The evaluation methods about the deactivation time of sensor nodes,positioning accuracy and coverage of normal nodes,are proposed.The optimization objective function is accordingly established.A multifactorial evolutionary algorithm incorporating a positive information transfer mechanism is proposed to solve the objective function.By optimizing the location of the sensor nodes,the solution with minimal node deactivation time,maximal positioning accuracy and coverage are achieved.Simulation results show that,compared with the single-objective optimization algorithm,the node deactivation time of the proposed algorithm is reduced by 32%,the positioning accuracy is improved by 23.5%,and the node coverage is increased by 12%.