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Pheromone Approach to the Adaptive Discovery of Sensor-Network Topology

机译:传感器网拓扑自适应发现的信息素方法

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Sensor-network technology is indispensable for constructing ubiquitous network infrastructures. Although information about adjacent relations between sensors is also very important for sensor networks, obtaining this information automatically without manual assistance is extremely difficult. Consequently, we propose a new methodology for constructing adjacent relations in sensor networks using an ant-colony optimization algorithm. This methodology can be used to automatically extract adjacent relations without using prepared sensor-location information or RFIDs to identify individual humans. We implemented a prototype system, and verified its basic effectiveness through simulations and an experiment using real data.
机译:传感器 - 网络技术对于构建普遍存在的网络基础设施是必不可少的。虽然传感器之间相邻关系的信息对于传感器网络也非常重要,但是在没有手动帮助的情况下自动获得此信息非常困难。因此,我们使用蚁群优化算法提出了一种用于在传感器网络中构建相邻关系的新方法。该方法可用于在不使用准备的传感器位置信息或RFID来识别单个人类的情况下自动提取相邻关系。我们实现了一种原型系统,并通过模拟和使用真实数据的实验验证了其基本效果。

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