CAJ | 학술논문

在海洋环境的影响下,水下无线传感器网络(UWSN)节点始终处于运动状态;UWSN采用声信号通信,缓慢的节点移动也会造成UWSN现有的多址接入技术(MAC)协议冲突避免机制失效.该文建立了水下节点的运动模型,基于AR运动预测模型减小水下节点的时空不确定性对于MAC协议的影响,提高发送信息在预约时隙到达的概率.仿真结果表明,采用AR(5)预测可以减小74.8%的时延探测误差.提出了基于预测的预约MAC协议:P-MAC.NS-2仿真结果表明该协议在海浪运动场景下能提高收包成功率(PRR)10%-15%.
재해양배경적영향하,수하무선전감기망락(UWSN)절점시종처우운동상태;UWSN채용성신호통신,완만적절점이동야회조성UWSN현유적다지접입기술(MAC)협의충돌피면궤제실효.해문건립료수하절점적운동모형,기우AR운동예측모형감소수하절점적시공불학정성대우MAC협의적영향,제고발송신식재예약시극도체적개솔.방진결과표명,채용AR(5)예측가이감소74.8%적시연탐측오차.제출료기우예측적예약MAC협의:P-MAC.NS-2방진결과표명해협의재해랑운동장경하능제고수포성공솔(PRR)10%-15%.
Due to marine dynamics, sensor nodes of Underwater Wireless Sensor Networks (UWSN) are always in a state of constant motion. Together with low propagation speed of acoustic signal, nodes mobility brings challenge to UWSN MAC. A motion model of underwater node is established to solve the multiple access problems for underwater mobile networks. Based on AR mobility prediction algorithm, the negative effect of space-time uncertainty can be reduced and the probability that sending information arrives in the reservation slot can be improved. The simulation results show that AR(5) algorithm can decrease 74.8%of delay detection error. A new contention-based MAC protocol:P-MAC is proposed. NS-2 simulation results show that P-MAC can get a 10%-15%higher Packet Receptipn Rate (PRR) under the circumstance of wave motion.