AUV辅助的水下无线传感器网络模糊功率拓扑控制算法  

Fuzzy Power Topology Control Algorithm for AUV-assisted Underwater Wireless Sensor Networks

作　　者：任文豪 郝琨 赵璐 REN Wenhao;HAO Kun;ZHAO Lu(School of Computer and Information Engineering,TCU,Tianjin 300384,China)

机构地区：[1]天津城建大学计算机与信息工程学院,天津300384

出　　处：《天津城建大学学报》2020年第1期50-55,共6页Journal of Tianjin Chengjian University

基　　金：国家自然科学基金(61902273);天津市自然科学基金面上项目(18JCYBJC85600);青海省物联网重点实验室开放课题(2017-ZJ-Y21)。

摘　　要：针对水下无线传感器网络拓扑控制中有效覆盖率低、节点能耗高和网络生命周期短的问题,提出一种AUV(autonomous underwater vehicle)辅助的水下无线传感器网络模糊功率拓扑控制算法FPPTC(fuzzy probabilistic power topology control).当AUV的传输功率不等于最佳传输功率时,采用模糊逻辑原则,把节点剩余能量、传输功率和邻居列表度的数据偏差值作为输入,输出AUV节点传输功率的调整概率,根据概率判断是否需要调整AUV的传输功率,同时将该概率作为训练数据集参数,把AUV节点传输功率调整至最佳值.仿真实验结果表明,FPPTC算法不仅能够提高网络有效覆盖率,而且降低了节点的能耗,延长了网络生命周期.In view of the problems of low effective coverage,high energy consumption of nodes,and short network life cycle in the topology control of underwater wireless sensor networks,an AUV(Autonomous Underwater Vehicle)-assisted fuzzy probability topology control algorithm for underwater wireless sensor networks is proposed.When the transmission power of the AUV is not equal to the optimal transmission power,based on the fuzzy logic principle,the data deviation value of the residual energy,transmission power and neighbor list degree of the node is taken as input.The adjustment probability of AUV node transmission power is taken as output.And then the probability is the basis of the determination of whether to adjust the transmission power of the AUV.At the same time,the probability is taken as the training data set parameter,and the transmission power of the AUV node is adjusted to the optimal value.Simulation results show that the FPPTC algorithm can not only improve the effective coverage of the network,but also reduce the energy consumption of the nodes and extend the network's life cycle.

关 键 词：水下无线传感器网络 拓扑控制 AUV 调整概率 模糊功率控制 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置]