收包率自适应功率控制方法
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摘要
通过神经模糊控制器来动态调节节点的目标收包率,使节点传输功率接近或达到该收包率。神经模糊控制器包含两个模糊推理系统(Fuzzy Interference System,FIS),FIS1采用神经网络学习来替代繁杂的模糊控制器参数调整过程,调节每个节点的传输功率,使节点的实际收包率达到目标值。FIS2采用"输入-输出-反馈"机制根据目标收包率和节点剩余能量偏差来调整其目标收包率,从而自适应地依据节点剩余能量调节传输功率,均衡网络能量消耗,延长网络生命周期。
A neural fuzzy controller is used to dynamically adjust the packet reception ratio of the nodes to adjust the node transmission power for optimizing the packet ratio.The fuzzy controller consists of two fuzzy interference systems(FIS).One is to use neural network learning for replacing the parameter adjustment process in fuzzy controller and check the transmission power of each node to ensure the optimal packet reception ratio.The other applies input-output-feedback mechanism to adjust the packet reception ratio according to both the current packet reception ratio and remaining energy of nodes.Based on the remain energy,the transmission power is adjusted to balance the energy consumption in the network and prolong the network life cycle.
A neural fuzzy controller is used to dynamically adjust the packet reception ratio of the nodes to adjust the node transmission power for optimizing the packet ratio.The fuzzy controller consists of two fuzzy interference systems(FIS).One is to use neural network learning for replacing the parameter adjustment process in fuzzy controller and check the transmission power of each node to ensure the optimal packet reception ratio.The other applies input-output-feedback mechanism to adjust the packet reception ratio according to both the current packet reception ratio and remaining energy of nodes.Based on the remain energy,the transmission power is adjusted to balance the energy consumption in the network and prolong the network life cycle.
引文
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[2]Vicente H D,Jose F M,Nestor L M,et al.Self-adaptive strategy based on fuzzy control systems for improving performance in wireless sensors networks[J].ACM Transaction on Sensor Networks,2015,15(9):24125-24142.
[3]Shan L,Fei M,Jingbing Z,et al.ATPC:adaptive transmission power control for wireless sensor networks[J].Sensors,2016,12(1):1-6,31.
[4]王福豹,史龙,任丰原.无线传感器网络中的自身定位系统和算法[J].软件学报,2005,16(5):857-868.
[5]沈玮娜,胡黄水,王宏志,等.自适应模糊无线传感器网络路由选择[J].长春工业大学学报,2017,38(2):144-149.
[6]吴鹏杰.一种新颖的无线传感器节点模糊功率控制算法[D].北京:北京邮电大学,2010:22-29.
[7]邵奇可,冯淑娜,毛科技.面向WN的自适应模糊功率控制算法研究[J].传感技术学报,2015,28(4):563-571.
[8]Huseyin U Y,Bulent T.Transmission power control for link-level handshaking in wireless sensor networks[J].IEEE Sensors Journal,2016,16(2):561-576.
[9]陈焕,汪正祥,傅忠云.基于发射功率自适应调节的无线通信网抗扰研究[J].电子科技,2016,29(1):71-74.
[10]李成法,陈贵海,叶懋,等.一种基于非均匀分簇的无线传感器网络路由协议[J].计算机学报,2007,30(1):27-36.
[11]袁正午,梁均军.累积链路质量无线传感器网络路由算法研究[J].计算机工程与应用,2011,47(14):66-69.
[12]王骐,王殊,孟中楼.无线传感器网络中一种基于接收功率异常的入侵检测算法[J].计算机科学,2009,36(3):34-37.
[13]Zhang J,Chen J,Sun Y.Transmission power adjustment of wireless sensor networks using fuzzy control[J].Wireless Communication&Mobile Computing,2009,9(6):805-818.
[14]胡黄水,沈玮娜,王出航,等.基于自适应模糊控制器的无线传感器网络功率控制[J].计算机应用,2017,37(9):2470-2473,2562.
[15]Geeta D D,Nalini N,Rajashekhar C B.Fault tolerance in wireless sensor network using hand-off and dynamic power adjustment approach[J].Journal of Network and Computer Applications,2013,36(4):1174-1185.
[16]Pappas G J.ATPC:Adaptive transmission power control for wireless sensor networks[J].Acm Transactions on Sensor Networks,2016,12(1):6.