摘要
针对传感器网络中节点发送数据存在冗余性,从而导致部分节点过早死亡,网络生命期缩短的问题,提出了一种基于数据融合率的分布式最优路由算法。该算法利用模糊理论定义各传感器相互信任程度,并通过信任矩阵度量各传感器测得数据的综合信任程度,进而得其数据融合率,并将无线传感器网络路由策略描述为线性规划问题,利用子梯度算法求取最优解,最大化网络寿命。仿真结果表明,该算法可有效减少数据通信量,均衡各个节点的能量消耗,延长网络寿命。
Because of the redundancy of sending data of the wireless sensor network, leading to premature death of nodes, a distributed optimal routing algorithm based on data fusion rate is put forward. The algorithm defines the level of trust between the sensors by fuzzy theory. Using trust matrix to measure the comprehensive level of trust of the measured data. Then the data fusion rate of each sensor is obtained. The routing strategy of Wireless sensor network is described as a linear programming problem, the sub--gradient algorithm is used to strike the optimal solution to maximize the network lifetime. The simulation results show that the algorithm can effectively reduce data traffic, balance energy consumption of each node and prolong the network lifetime.
出处
《计算机测量与控制》
北大核心
2013年第2期454-457,共4页
Computer Measurement &Control
基金
国家高技术研究发展计划"863"计划项目(2007AA10Z241
2006AA10Z335)
国防基础科研项目(A1420080177)
关键词
数据融合率
节能
网络寿命
无线传感器网络
路由算法
data fusion rate
energy saving
network lifetime
wireless sensor network
routing algorithm
