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Aviation self-organizing network wireless link stability prediction method

A technology for self-organizing network and stability prediction, applied in the field of wireless network, it can solve the problems of inability to obtain the predicted value of link duration, ignoring the initial distance, etc.

Active Publication Date: 2013-12-04
武汉华讯国蓉科技有限公司
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AI Technical Summary

Problems solved by technology

However, because only the influence of relative speed is considered, the initial distance between nodes at the moment of link establishment is completely ignored
Therefore, it can only make qualitative predictions on link characteristics, but cannot get accurate predictions of link duration

Method used

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  • Aviation self-organizing network wireless link stability prediction method
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  • Aviation self-organizing network wireless link stability prediction method

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Embodiment Construction

[0026] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0027] The method for predicting the link stability of the aeronautical self-organizing network proposed by the present invention has been realized in the wireless network simulation environment QualNet4.5.

[0028] Provide concrete implementation steps of the present invention below:

[0029] Step 1: Construct the mobile model of aviation self-organizing network nodes.

[0030] as attached figure 1 As shown, the mobile model is divided into seven states: accelerated takeoff, constant velocity rise, steady flight, turning, constant velocity descent, deceleration stop and static. The aircraft node starts from the acceleration take-off phase, and enters the constant-velocity ascent phase when the speed accelerates to a given value. After climbing to the prescribed flight altitude, the aircraft will begin cruising flight (smooth flight). Dur...

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Abstract

The invention discloses an aviation self-organizing network wireless link stability prediction method. The method includes the steps of firstly, establishing an aviation self-organizing network node mobile model; secondly, determining a node movement rate probability density function in each state and a probability density function of a relative speed between every two nodes according to the movement features of the nodes in the mobile model in each state; thirdly, determining a distribution function of the duration time of a wireless link through combination of the distance between every two nodes and node relative movement direction information on the basis; finally, obtaining stability factors of the multi-hop wireless link according to the distribution function of the duration time of the wireless link, wherein the mobile model is composed of seven states, namely, the acceleration taking off state, the constant-speed rising state, the smooth and steady flying state, the steering state, the constant-speed descending speed, the deceleration stopping state and the static state. The stability factors of the link can be used as the importation foundation for route selection through the airplane nodes, and therefore the wireless transmission link with the high stability is set up for an aviation self-organizing network. The validity of the method is proved through a simulation experiment in the QualNet simulation environment.

Description

technical field [0001] The invention belongs to the field of wireless networks, in particular to a method for predicting the stability of wireless links in aviation ad hoc networks. Background technique [0002] Wireless Ad hoc Networks (Wireless Ad hoc Networks) is a new type of wireless communication network that does not depend on fixed infrastructure. It consists of a group of mobile nodes with wireless transceivers. The networking is fast, flexible and highly reliable. Each node in the network is both a terminal and a router, capable of forwarding data packets from other nodes in the network. After the nodes are turned on, they can quickly form a network in a multi-hop self-organizing manner under the control of a layered network protocol. When some nodes fail or are destroyed and stop working, the operation of the entire network will not be affected, so the network has great potential. Strong invulnerability and self-healing ability. [0003] In recent years, wireles...

Claims

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Application Information

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IPC IPC(8): H04W24/06H04W84/18
Inventor 雷磊王丹罗诚王成华张雅静朱马君朱明李晶
Owner 武汉华讯国蓉科技有限公司
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