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Data transmission is the most important issue in wireless sensor network (WSN). The energy consumption and latency are the key factors of data transmission. To optimize these factors, a noble data aggregation algorithm is proposed in this paper. The proposed algorithm is originated from LEACH, and energy efficiency and latency is considered as the researching parameters. The overlap of detect regions...
Mobile agents are often used in wireless sensor networks for distributed target detection with the goal of minimizing the transmission of non-critical data that negatively affects the performance of the network. A challenge is to find optimal mobile agent routes for minimizing the data path loss and the sensors energy consumption as well as maximizing the data accuracy. Existing approaches deal with...
This paper deals with influence of the fusion of part of the related data in WSN on the energy consumption of network clustering based on the hypothesis that the data packets transmitted by cluster-head node after data fusion are the minimum with the rate distortion function theory. The study shows that node energy consumption largely depends on its location: although some nodes are comparatively...
In this paper, we propose an optimized clustering technique based on spatial-correlation in wireless sensor networks (WSN). It combines the advantages of clustering technique with spatial-correlation. It can avoid the impact of unexpected data on the results and get approximate results in a tolerant error by using similarity degree to construct clusters. Moreover, for only cluster-heads transmit data...
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