District Partition-Based Data Collection Algorithm With Event Dynamic Competition in Underwater Acoustic Sensor Networks

District Partition-Based Data Collection Algorithm With Event Dynamic Competition in Underwater Acoustic Sensor Networks
复制标题

水声传感器网络中基于区域划分的事件动态竞争数据采集算法

DOI:
10.1109/tii.2019.2912320
复制
发表时间:
2019-10-01
影响因子:
12.3
通讯作者:
Ansere, James Adu
Ansere, James Adu
中科院分区:
计算机科学1区
文献类型:
--
作者:
Han, Guangjie;Tang, Zhengkai;Ansere, James Adu

文献摘要

被引文献

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水声传感器网络(UASN)的出现增强了海洋环境监测、辅助导航和海洋军事防御。 UASN的核心功能之一是数据收集。然而,目前的水下数据采集方案普遍遇到能耗高、时延高等问题。此外,多个自主水下航行器(AUV)的应用导致了更多的任务分配和负载平衡问题。这导致数据收集和自发紧急情况控制方面的重大失败。为了解决这些问题,提出了一种UASN中基于分区的事件动态竞争数据采集算法。在该算法中,数据包的信息值决定了其传输到簇头的优先级。移动接收器的导航位置和每个AUV负责的区域由空间区域划分确定。然后使用强化学习来规划 AUV 在该次区域的路径。随后,利用多艘AUV的动态竞争来处理紧急任务。仿真表明,我们提出的算法显着降低了能耗,保证了负载平衡,同时减少了端到端的传输延迟。
The advent of underwater acoustic sensor networks (UASNs) has enhanced marine environmental monitoring, auxiliary navigation, and marine military defense. One of the core functions of UASNs is data collection. However, current underwater data collection schemes generally encounter problems such as high energy consumption and high latency. Furthermore, the application of multiple autonomous underwater vehicles (AUVs) has contributed to more problems of task assignment and load balancing. This leads to significant failure in data collections and controlling of spontaneous emergencies. To address these problems, a district partition-based data collection algorithm with event dynamic competition in UASNs has been proposed. In this algorithm, the value of information of the packet determines the priority of its transmission to the cluster head. The navigation position of the mobile sink and the area under the responsibility of each AUV are determined by the spatial region division. The path of the AUV in the subregion is then planned using reinforcement learning. Subsequently, the dynamic competition of multiple AUVs is used to handle emergency tasks. The simulation demonstrates that our proposed algorithm significantly reduces energy consumption to guarantee load balancing while reducing end-to-end transmission delay.