An Intelligent Data Fusion Algorithm with Fusion Benefit Pattern Tree for Wireless Sensor Networks
作者： Chien-Chang Hsu , Wei-Yi Wang
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摘要: The small size of the wireless sensor networks makes it easy to apply in various applications. However, transmission capability limits applications different domains. How fuse transmitted data increase effective is an important issue. This work designs intelligent fusion algorithm with benefit pattern tree for networks. computes from past paths. Then, discovers association among patterns according benefits construct appropriate tree. topology taken as a aggregation fusion. experiential results show that can provide higher dataflow.
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