Ristic Branko, Skvortsov Alex
School of Engineering, RMIT University, Melbourne, VIC 3000, Australia.
Maritime Division, Defence Science and Technology Group, Fishermans Bend, VIC 3207, Australia.
Entropy (Basel). 2020 Jun 8;22(6):635. doi: 10.3390/e22060635.
The problem is a two-dimensional area-restricted search for a target using a coordinated team of autonomous mobile sensing platforms (agents). Sensing is characterised by a range-dependent probability of detection, with a non-zero probability of false alarms. The context is underwater surveillance using a swarm of amphibious drones equipped with active sonars. The paper develops an intermittent information-driven search strategy, which alternates between two phases: the fast and non-receptive displacement phase (called the ballistic phase) with a slow displacement and sensing phase (called the diffusive phase). The proposed multi-agent search strategy is carried out in a decentralised manner, which means that all computations (estimation and motion control) are done locally. Coordination of agents is achieved by exchanging the data with the neighbours only, in a manner which does not require global knowledge of the communication network topology.
问题是利用一组协同的自主移动传感平台(智能体)对目标进行二维区域受限搜索。传感的特点是检测概率与距离有关,且存在非零误报概率。背景是使用一群配备主动声纳的两栖无人机进行水下监视。本文提出了一种间歇式信息驱动搜索策略,该策略在两个阶段之间交替:快速且无感知的位移阶段(称为弹道阶段)和缓慢位移与传感阶段(称为扩散阶段)。所提出的多智能体搜索策略以分散方式执行,这意味着所有计算(估计和运动控制)都在本地完成。智能体之间的协调仅通过与邻居交换数据来实现,这种方式不需要通信网络拓扑的全局知识。