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中文摘要：
针对无线传感器网络数据融合中服务质量与加权公平性保证问题，提出了一种基于二次独立集的数据融合调度算法MISS。该算法采用时分复用思想，通过2次构造最大独立集实现对加权数据的无冲突调度。首先构建以最大独立集为基础的树型结构，并根据能量消耗预测进行调整形成最终的数据融合平衡树；然后通过优化调度对象集合，利用近似最大加权独立集为允许通信的链路分配传输时隙。实验结果表明，该算法能够在降低融合时延、加权公平性保证以及延长网络生命周期等方面实现性能平衡。
英文摘要：
The main task in designing a data aggregation schedule was to get a good trade-offbetween QoS and weighted fairness guarantee. In order to address this problem, a novel data aggregation scheduling algorithm, MISS, was proposed, which could produce a collision-free TDMA schedule for data aggregation based on twice Maximum Independent Set （MIS）. In the first phase, a tree structure based on MIS was constructed, and then it was adjusted according to the energy consumption forecast of each node, forming the balanced data aggregation tree. In the second phase, the approximate maximum weighted Independent set （WMIS） was utilized of all selected links to allocate time slots for each communica- tion link. The results of simulation demonstrate that MISS not only improves the aggregation delay and lifetime of the network, but also gives weighted fairness guarantee.
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