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作 者:洪昌建 高阳 张凡 张磊[1] HONG Chang-jian;GAO Yang;ZHANG Fan;ZHANG Lei(Wuhan Second Ship Design and Research Institute,Wuhan 430205,China)
出 处:《计算机科学》2021年第S01期410-413,共4页Computer Science
摘 要:针对Layered-DBR算法中网络节点需感知全网节点的剩余能量和邻居节点距离的局限性,提出一种可靠的水下传感器网络数据传输策略RTS(Reliable Transmission Strategy),节点仅通过感知自身节点深度信息、剩余能量及网络分层间距来计算当前节点的能量因子和距离因子。制定了一种网络性能评估方法来平衡网络生命周期与数据丢包,并通过仿真实验确定能量因子和距离因子的占比,最终给出消息转发概率的计算公式。仿真对比实验表明,与DBR,DMBR,Layered-DBR等算法相比,RTS算法能够有效控制网络冗余、减少数据丢包,同时网络具有较长的生命周期。Aiming at the limitation of network nodes needing to perceive the residual energy of the whole network nodes and neighbor node distance in the Layered-DBR algorithm,a reliable under water sensor network data transmission strategy RTS(Reliable Transmission Strategy)is proposed which calculates the energy and distance factors by current node depth information,residual energy and network layered spacing.This paper develops a network performance evaluation method to balance the network life cycle and data packet loss rate,to determine the proportion of energy factor and distance factor through simulation experiment,and finally gives the calculation method of the probability of message forwarding.The simulation comparison experiment shows that compared with DBR、DMBR、Layered-DBR,the RTS algorithm can effectively control network redundancy,reduce data packet loss,and has a long life cycle of the network.
关 键 词:水下传感器网络 能量因子 距离因子 转发概率 网络冗余 数据丢包
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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