面向水声传感网的自主水下航行器辅助定位动态路径规划

Dynamic Path Planning for Autonomous Underwater Vehicle Assisted Localization of Underwater Acoustic Aensor Networks

水声传感器网络(UASNs)节点由于洋流等因素长时间作用会出现位置偏移,故需要修正其位置信息。在水声传感器网络节点定位中将自主式水下潜器(AUV)作为移动锚点辅助定位可有效降低定位成本,但在AUV辅助定位过程中AUV的能量利用率仍有待提升。为了进一步提高AUV的能量利用率,该文提出一种面向水声传感网的AUV辅助定位动态路径规划方法。该方法中将节点位置修正过程看成节点位置信息熵减少的过程。在AUV动态路径规划时根据定位过程的节点位置信息和预计AUV能耗,规划AUV下一步移动目标位置。使用贪婪算法选取使信息增益期望和移动消耗能量比值最大的位置作为AUV下一步移动目标位置。仿真结果表明,该算法能够在保证节点定位精度的基础上有效提高AUV能量利用率。

Due to various effects,such as ocean currents,locations of sensor nodes have to be updated in Underwater Acoustic Sensors Networks(UASNs).In UASNs localization,using an Autonomous Underwater Vehicle(AUV)as the mobile anchor can reduce the localization cost.However,the energy utilization of AUV is not efficient.In order to improve the energy utilization of AUV,a dynamic path planning method is proposed for an AUV-aided localization for UASNs.In this method,the location correction process is regarded as a process of reducing the entropy of location information of sensor nodes.In dynamic path planning,the next target location of the AUV is planned according to the sensor node location information and the expected AUV energy consumption.The greedy algorithm is used to select the location that can obtain the maximum ratio of the expectation of the information gain and mobile energy consumption as the target location.The simulation show that the proposed algorithm can improve the energy efficiency while ensuring the positioning accuracy.