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Mission-Critical Search and Rescue Networking Based on Multi-agent Cooperative Communication

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Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

Improving the existing maritime search and rescue network and carrying out a fast and effective search and rescue activities have become a research hotspot. Intelligent devices such as an unmanned surface vehicle (USV) and unmanned aerial vehicle (UAV) can be used to build multi-layer networks. Their fast maneuverability and distributed computing performance provide us with new research directions. In this chapter, a new search and rescue system is designed which applies the ant colony optimization (ACO) and particle swarm optimization (PSO) for search and rescue decision-making and network scheduling. Each device in the system carries out information sharing, edge calculation, and realizes autonomous synchronous search and rescue. We use ACO to plan search path and PSO to schedule data packet forwarding to build a complete maritime search communication network. This network adopts the distributed cluster control mode, reduces the calculation consumption of the control center, and improves the search and rescue efficiency.

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Copyright information

© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Electrical Engineering and IntelligentizationDongguan University of TechnologyDongguanChina
  2. 2.Department of Electrical and Computer EngineeringUniversity of WaterlooWaterlooCanada

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