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Data aggregation in wireless sensor networks using ant colony algorithm

机译:使用蚁群算法的无线传感器网络中的数据聚合

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Data aggregation is important in energy constraint wireless sensor networks which exploits correlated sensing data and aggregates at the intermediate nodes to reduce the number of messages exchanged network. This paper considers the problem of constructing data aggregation tree in a wireless sensor network for a group of source nodes to send sensory data to a single sink node. The ant colony system provides a natural and intrinsic way of exploring search space in determining data aggregation. Moreover, we propose an ant colony algorithm for data aggregation in wireless sensor networks. Every ant will explore all possible paths from the source node to the sink node. The data aggregation tree is constructed by the accumulated pheromone. Simulations have shown that our algorithm can reduce significant energy costs.
机译:数据聚合在能量受限的无线传感器网络中很重要,该传感器网络利用相关的传感数据并在中间节点处聚合以减少交换的消息数量。本文考虑了在无线传感器网络中为一组源节点向单个宿节点发送传感数据而构建数据聚合树的问题。蚁群系统提供了一种自然而内在的方式来探索搜索空间以确定数据聚合。此外,我们提出了一种蚁群算法,用于无线传感器网络中的数据聚合。每个蚂蚁将探索从源节点到宿节点的所有可能路径。数据聚集树由累积的信息素构成。仿真表明,我们的算法可以减少大量的能源成本。

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