Abstract
Aiming at the problem of the effective connectivity of a large number of mobile combat units in the future aeronautic swarm operation, this paper proposes an idea of using UAV(Unmanned Aerial Vehicle) to build, and studies the deployment of the network. User coverage and network connectivity are important for a relay network planning which are studied separately in traditional ways. In order to effectively combine these two factors while the network’s survivability is taken into account. Firstly, the concept of node aggregation degree is proposed. Secondly, a performance evaluation parameter for UAV relay network is proposed based on node aggregation degree, then analyzes the lack of deterministic deployment and presents one a PSO (VFA-PSO) deployment algorithm based on virtual force. Finally, compared with the existing algorithms, the validity and stability of the algorithm are verified. The experimental results show that the VFA-PSO algorithm can effectively improve the network coverage and the survivability of the network under the premise of ensuring the network connectivity, and has better deployment effect.
Highlights
With the deepening of the digital battlefield, a small number of combat platform to complete a single combat mission combat mode has been unable to meet the complex and changing battlefield environment
Particle Swarm Optimization (PSO) is a new evolutionary computing technology based on group intelligence, which is widely used in various optimization fields
We puts forward an idea of using UAV to construct relay network and study the deployment of the network based on the background of aeronautic swarm operations
Summary
With the deepening of the digital battlefield, a small number of combat platform to complete a single combat mission combat mode has been unable to meet the complex and changing battlefield environment. In order to make the air combat platform collaborative and efficient completion of operations, integrated system to realize multi platform, multi task combat, researchers will biological swarm concept applied to the field of air combat and put forward the concept of aeronautic swarm [1~3]. In order to solve the different operational tasks of OODA (OberveOrient - Decide-Attack), the different types of platforms are based on the dynamic combination of task requirements, and the OODA complete combat process is realized on a continuous, continuous and closed loop basis on the basis of the coordinated operation of OODA. The distribution of the platform matches the operational and operational objectives, but may not match the communication topology, that is, some platforms may become isolated nodes of the communication, resulting in the information can not be transmitted to each other, the swarm collaborative task can not be achieved.
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