能量约束贝叶斯压缩感知检测算法  

Energy constraint Bayesian compressive sensing detection algorithm

作　　者：赵春晖[1] 许云龙[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《通信学报》2012年第10期1-6,共6页Journal on Communications

基　　金：国家自然科学基金资助项目(61077079)~~

摘　　要：为了解决无线传感器网络在监测区域内遇到处理能力不足和能量受限问题,提出了一种能量约束贝叶斯压缩感知检测算法。算法在选择观测向量时不仅考虑了重构效果,同时还考虑了节点的能量,并利用改进的分簇算法选择最佳传输路径,以均衡整个网络的能量,防止某些节点由于能量消耗过快导致整个网络失效。实验表明,与传统的贝叶斯压缩感知直接检测相比,能量约束贝叶斯压缩感知检测算法在网络生存时间上有了很大的提高。To solve the shortage of nodes handling ability and limited energy in wireless sensor network, an energy con- straint Bayesian compressive sensing detection algorithm was proposed. To balance the energy of the whole network and prevent network paralyzed due to too fast consumption of some nodes energy, the new algorithm not only considers effect of reconstruction, but also regards energy of nodes, while choosing observation vector, and uses improved clustering algorithm to select an optimal transmission path. The simulation results show that the energy constraint Bayesian com- pressive sensing detection algorithm has longer the survival time of the network than traditional Bayesian compressive sensing.

关 键 词：贝叶斯压缩感知:无线传感器网络 检测 能量约束 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]