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Artificial bee colony algorithm-based multiple-source localization method for wireless sensor network

机译:基于人工蜂群算法的无线传感器网络多源定位方法

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Inspired by Artificial Bee Colony algorithm (ABC), which is widely employed in various kinds of aspects. However, there is a lack of research on source seeking problem through ABC algorithm. This paper proposes a strategy which utilizes a swarm of robots to accomplish autonomous mutilple-source localization. The location method for the strategy is based on a kind of population based stochastic optimization algorithm which is called Artificial Bee Colony algorithm (ABC). We do simulation experiments to get the most suitable parameters of the ABC algorithm according to the time and the error between each optimal solution and the source point. This strategy will minimize the overall error and maintain a shorter run time. In the future, our strategy will be utilizing in real environment, and will be employed on many kinds of different flied.
机译:受到人工蜂群算法(ABC)的启发,该算法已广泛应用于各个方面。然而,关于通过ABC算法进行的寻源问题缺乏研究。本文提出了一种策略,该策略利用大量机器人来实现自主的多源源定位。该策略的定位方法基于一种基于种群的随机优化算法,称为人工蜂群算法(ABC)。我们根据时间和每个最优解与源点之间的误差进行仿真实验,以获取最适合ABC算法的参数。该策略将最大程度地减少总体错误并保持更短的运行时间。将来,我们的策略将在实际环境中使用,并将用于多种不同的文件。

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