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Study on Dijkstra Path Planning of Sensor Networks Based on Optimized Ant Colony Algorithm

机译:基于优化蚁群算法的传感器网络Dijkstra路径规划研究

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With the continuous development of various sensor network positioning technologies, the accuracy of robot path planning based on wireless sensor networks has been continuously improved. Therefore, a Dijkstra path planning method for sensor networks based on optimized ant colony algorithm is proposed. Firstly, the CC2430 sensor network communication node module is designed based on the IEEE802.15.4 standard, and the CC2430 packet header format is modified to realize remote communication between nodes. Finally, the ant colony optimization is used to improve the dijkstra shortest path algorithm. The experimental results show that compared with the traditional algorithm, the proposed algorithm has a lower path planning length, can effectively complete the path planning optimization, and can meet the requirements of a variety of path navigation.
机译:随着各种传感器网络定位技术的不断发展,基于无线传感器网络的机器人路径规划的准确性已经不断提高。因此,提出了一种基于优化蚁群算法的传感器网络的Dijkstra路径规划方法。首先,CC2430传感器网络通信节点模块是基于IEEE802.15.4标准设计的,并且修改了CC2430分组标题格式以实现节点之间的远程通信。最后,蚁群优化用于改进Dijkstra最短路径算法。实验结果表明,与传统算法相比,所提出的算法具有较低的路径规划长度,可以有效地完成路径规划优化,并且可以满足各种路径导航的要求。

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