Unmanned cluster network congestion control method based on cross-layer optimization
A cluster network and congestion control technology, which is applied in network planning, network data management, data exchange network, etc., can solve the problems of data transmission packet loss, harsh environment, and easy congestion, etc., to achieve reliable data transmission and optimize the network performance effect
Pending Publication Date: 2021-12-07
DALIAN JIAOTONG UNIVERSITY
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Problems solved by technology
However, the unmanned equipment cluster has the characteristics of easy congestion, fast moving speed, frequent topology changes, and harsh environment. Congestion and other issues
[0003] The traditional TCP protocol is difficult to adapt to the unmanned cluster network. It believes that the packet loss in the link is caused by network congestion. In the unmanned cluster network, various random errors in the wireless link, such as bad environment, routing Switching and other reasons will cause packet loss during data transmission
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Embodiment 1
[0063] This embodiment proposes an unmanned swarm network congestion control method based on cross-layer optimization. This method can correctly distinguish the cause of packet loss, and through reasonable control of the congestion window, the network throughput is improved, and the network transmission delay is reduced. Reliable transmission of data. When each data packet is sent multiple times in an unmanned swarm network, the network layer and the transport layer predict the link status through useful node operation information, and modify the added flag bits in the TCP data packet to record the link status. The network layer records the link status into the flag bit through cross-layer communication. The transport layer obtains the link status through the flag bits in the data packet, and adopts different congestion control methods for congestion control. The specific steps are as follows:
[0064] S1. First, according to the characteristics of the unmanned swarm network,...
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The invention discloses an unmanned cluster network congestion control method based on cross-layer optimization, and relates to the field of unmanned cluster control. The congestion window is reasonably controlled, so that the network throughput is improved, the network transmission delay is reduced, and reliable transmission of data is guaranteed. When each data packet in the unmanned cluster network is sent by a plurality of data packets, a network layer and a transmission layer predict a link state through useful node operation information, meanwhile, a flag bit added in the TCP data packet is modified to record the link state, and the network layer records the link state into the flag bit through cross-layer communication. And the transmission layer obtains the link state through the flag bit in the data packet, and performs congestion control by adopting different congestion control means.
Description
technical field [0001] The invention relates to the field of unmanned swarm control, in particular to an unmanned swarm network congestion control method based on cross-layer optimization. Background technique [0002] The mobile Ad Hoc network is a non-centered, self-organized, multi-hop distributed network temporarily composed of a group of mobile nodes, which can provide flexible and mobile communication capabilities for combatants and various weapon platforms, and is gradually playing an important role in informationized weaponry. Huge effect. As a typical wireless ad hoc network, the unmanned swarm network plays an increasingly prominent role in application fields such as reconnaissance, detection, and relay communication. Since the unmanned swarm network does not require a fixed base station, it has the advantages of simple, fast, and convenient use. It has been widely used in special fields such as military affairs and emergency rescue of natural disasters. However,...
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IPC IPC(8): H04W28/02H04W40/12H04W40/22H04W16/22H04L12/801H04L12/807H04L12/823H04L12/841H04L47/27H04L47/32
CPCH04W28/0289H04W28/0236H04W28/0242H04W28/0273H04W40/12H04W40/22H04W16/22H04L47/283H04L47/27H04L47/29H04L47/323H04W28/021H04W8/04
Inventor 王运明张硕初宪武
Owner DALIAN JIAOTONG UNIVERSITY