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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.
Aiming at energy constrained wireless sensor networks, a scheme of low energy consumption for intra-cluster cooperative nodes is proposed, in which an optional collaborative node set is first determined according to a preset energy threshold, and then a small amount of data is required Blind channel estimation algorithm is proposed to estimate the channel information of the coordinating nodes and the cluster head nodes in these optional clusters respectively.By converting the blind wireless channel estimation problem into an unconstrained optimization problem and using quadratic programming iterative re-weighting Method to solve the optimization problem and blindly retrieve the wireless channel information blindly.The algorithm requires less data, can reduce the energy consumption of the wireless sensor network effectively, selects the node whose residual energy is greater than the threshold and the best channel gain as the head node Cluster.The simulation results of theoretical analysis and mathematical modeling show that the new method can obtain the channel information between nodes without any increase in the amount of computation and with good anti-interference .