摘要
无线传感网络中的传感器节点处于安装,节点密度处于随机分布,传统的无线传感网络通信协议很难形成有效的节点规范,没有考虑节点连通的最优性能,造成在阻塞情况下很难形成最优信道路径选择。提出一种基于残余能量通讯痕迹的无线网络通讯算法,将节点表示为近端寻优粒子,采用交叉遗传的方式对节点的性能多样性进行保持,将节点的残存能量作为目标函数进行优化,找到迭代通信轨迹计算中,残存能量较大的最优节点进行通信。实验结果证明,经过算法优化后,无线传感网络的通信能比传统的方法有了明显的改善。
In installation and wireless sensor network sensor node density is in random distribution,the traditional wireless sensor network communication protocol specification,it is difficult to form effective node without considering node connected optimal performance,caused by blocked in case it is difficult to form the optimal channel routing.Put forward a kind of wireless network communication algorithm based on residual energy trace,will represent for proximal nodes optimization particles,with the method of cross genetic diversity on the performance of the node to keep the node's residual energy as the objective function is optimized,find iterative communication trajectory calculation,the larger residual energy optimal nodes to communicate.Experimental results show that the optimized algorithm,communication could be better than the traditional method of wireless sensor network has the obvious improvement.
出处
《计算机仿真》
CSCD
北大核心
2013年第8期311-314,共4页
Computer Simulation
关键词
寻优粒子
残存能量
通信痕迹
Cross genetic PSO
The remaining energy
Network communication performance