针对室内定位导航、多路由选择等热门应用中对多次无线信号覆盖的需求,提出了一种基于改进的人工鱼群优化算法的K覆盖安置策略.其中特别设计出一种简单的障碍物干扰描述模型,以期更真实地刻画应用场景.仿真结果表明,我们的方法可在保证覆盖的前提下,明显节省AP数量同时改善节点的聚集.
On the requirement of multiple wireless coverage in some hot applications like indoor positioning and navigation, multipath routing etc., this paper presented a K coverage placement scheme based on an improved Artificial FishSwarm Algorithm (AFSA). A simple obstacle interference describing model was also designed to make our simulation scenario closer to a real one. The simulative results showed that our method could obviously reduce the number of signal nodes and their aggregation on the premise of coverage.
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