针对大规模无线传感器网络信息传输量和节能要求,提出一种新的与空间事件相关的融合算法。新的融合算法在分簇路由协议LEACH基础上,构建了包含区域信息的q分类数据结构,使之能够完成对包含区域信息的数据分布查询任务。通过仿真对包含区域信息的q分类融合算法的数据传输量与精确度等指标进行计算分析,将其结果与简单结构LIST融合算法进行比较。结果表明包含区域信息的q分类融合算法在节省能量、平衡网络负载等方面效果明显,网络规模越大节能效果越好,在保证网络寿命的前提下可以得到尽量完善的整个网络数据及对应的区域信息,提高了获取的网络数据质量。
To meet the requirements of the tremendous transmission and energy-saving for large-scale wireless sensor networks, a novel aggregation algorithm integrated with spatial information event is presented by establishing a q-classification data structure on the platform of LEACH protocol. Distributed query of data including spatial information could be fulfilled with the algorithm. Computation and analysis on amount of data transmission and accuracy are carried out by developed algorithm, and also compared with the results obtained with conventional LIST algorithm. It shows that the q-classification aggregation algorithm integrated with spatial information event has advantages of energy-saving and balancing of network loads, which guarantees the quality of the network data.