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中文摘要：
针对无线传感器网络中节点间接距离测量精度问题，提出一种改进的节点距离测量算法DV-GNN，分析了算法的理论基础，给出了算法的实现步骤。DV-GNN算法以节点的梯度化邻居节点信息作为彼此识别的依据以提高距离测量的分辨率，将分辨率从节点有效通信半径提高到节点间距。与DV-hop算法相比，保留了其低成本、低开销的优点，却极大地提高了节点距离测量精度。理论分析及仿真结果表明，该算法在节点密集分布的无线传感器网络中具有很好的效果。
英文摘要：
A modified distance-estimating algorithm DV-GNN was presented to improve the precision of indirect distance measuring in wireless sensor networks, theoretical basis was analyzed, and implementing process was given. With the help of gradient neighbors, the resolving power of distance estimating was increased from effective radio range to the distance interval between nodes. Compared with the algorithm DV-hop, under the preservation of the low cost and overhead, the measuring accuracy was improved largely. The analysis and simulation validated that the method was quite effective in wireless sensor networks with dense nodes.
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