摘要
针对能量受限的无线传感器网络,提出一种能耗较低的簇内协作节点的选择方案.该方案先根据预设的能量阈值确定可选的协同节点集,再采用一种数据量要求小的盲信道估计算法,分别估计出这些可选簇内协同节点与簇首节点间的信道信息.通过把盲无线信道估计问题先转化为一个无约束的优化问题,再采用二次规划迭代重加权方法解决该优化问题,有效地盲恢复出无线信道信息.该算法对数据量的要求小,能有效减少无线传感器网络的能耗,选择剩余能量大于阈值,信道增益最好的节点作为簇首节点的簇内协作节点.理论分析和数学建模仿真结果表明,在不增加运算量的前提下,借助很小的数据量,新方法能获得节点间的信道信息,而且有很好的抗干扰性.
An inter-cluster cooperative node selection scheme with low energy-cost is proposed for the energy -constrained wireless sensor networks. Pre-set an energy threshold first to determine a cooperative node set. Then estimate information of channels between inner-cluster cooperative nodes and cluster head nodes with a blind channel estimation algorithm that requires small amount data. The optimum inner-cluster nodes are selected as the cooperative nodes of the cluster head nodes by considering comprehensively channel states and residual energy. The blind channel estimation is then turn into the unconstrained optimization which is then resolved by quadratic programming iterative weighted method. Theoretical analysis, mathematical models, and simulation results show that the new algorithm can obtain channels information by mean of a few data.
出处
《小型微型计算机系统》
CSCD
北大核心
2013年第6期1266-1269,共4页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(60671037)资助
关键词
无线传感器网络
协作通信
信道盲估计
二次规划
wireless sensor networks
cooperative communication
blind channel estimation
quadratic programming （ QP ）
