Multi Agents to Search and Rescue Based on Group Intelligent Algorithm and Edge Computing

With the increasing number of maritime trade activities, carrying out rapid and effective maritime search and rescue operation has become an urgent need for research in order to ensure the safety of navigation at sea. Now, we mainly rely on artificial decision making, artificial distribution of search and rescue area, and artificial driving ship to complete search and rescue operation. The distribution, synergy, parallelism, robustness and intelligence of unmanned boat and UAV provide a new idea for the development of search and rescue work at sea. The marine search and rescue system under the new situation can be regarded as a hierarchical control network system composed of multi agents. And in this paper, a new fast search and rescue system is proposed by using the improved ant colony algorithm and the independent calculation decision of the agents. The system adopts the edge computing, relies on the information sharing and the cooperative decision between the search and rescue agent groups. And finally it achieves the independent synchronous search and rescue. Distributed task allocation solutions break through the limitations of centralized hierarchical task allocation based on manpower. Edge computing requires all distributed control nodes to make autonomous decisions in the task process. Based on the distributed cluster control of unmanned boat and UAVs, this paper combines edge computing, cooperative communication, centralized task allocation and decision making together.