• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on Robotics and Biomimetics >UAVs versus Pirates: A Pheromone-based Swarm Monitoring Method
【24h】

UAVs versus Pirates: A Pheromone-based Swarm Monitoring Method

机译：无人机与海盗：基于信息素的群监视方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

As piracy presents great threats to maritime security, unmanned aerial vehicle (UAV) swarm monitoring is becoming an attractive countermeasure. Conventional sweep monitoring method provides balanced coverage but cannot adapt to variable situations, such as the return of UAVs for refueling. This paper proposes a pheromone-based method for UAV swarm anti-piracy monitoring. In this method, the environment is modeled by a pheromone map, and the motion of UAVs is guided by the strength of pheromones. A ship-centered convening mechanism is proposed to increase the chance of finding pirates by taking the interactions between pirates and merchant ships into account. A prediction-reservation mechanism is proposed to improve the deficiencies of the implicit intention propagation mechanism when the ship-centered convening mechanism is used. Simulation experiments are conducted to study the effectiveness of the proposed method. Results show that the proposed method reduces the success rate of pirate attack by 8% at most compared to the sweep method, and that the prediction-reservation mechanism performs better than the implicit intention propagation mechanism, especially with large number of UAVs.
机译：由于盗版对海上安全构成巨大威胁，无人机监视（UAV）群监视已成为一种有吸引力的对策。传统的扫掠监测方法可提供平衡的覆盖范围，但不能适应多种情况，例如无人机返回加油。本文提出了一种基于信息素的无人机群反盗版监测方法。在这种方法中，环境是通过信息素图建模的，而无人机的运动则是由信息素的强度来指导的。提出了一种以船为中心的召集机制，通过考虑海盗与商船之间的相互作用来增加发现海盗的机会。为了提高隐性意图传播机制在以舰船为中心的召集机制下的缺陷，提出了一种预测保留机制。通过仿真实验研究了该方法的有效性。结果表明，与扫掠方法相比，该方法最多可将海盗攻击的成功率降低8％，并且预测保留机制的性能要优于隐式意图传播机制，尤其是在无人机数量较多的情况下。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号