An adaptive rate selecting algorithm based on vehicle safety communication

A rate selection and secure communication technology, applied in the direction of transmission modification based on link quality, adjustment of transmission rate, transmission system, etc. It can solve the problems of complicated designers, fuzzy rules and parameter sets, and inability to complete, and simplify the design complexity. degree of effect

Inactive Publication Date: 2018-11-27
HARBIN UNIV OF SCI & TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology helps vehicles communicate more efficiently by estimating their own signal losses over multiple paths between them through an environmental model called Layered Fault Network (LFN). By comparing this estimated lost packets from different sources, we are able to identify areas where there may be problems affecting communications reliability. Additionally, these techniques help predict future traffic patterns better than just looking at past ones. Overall, they aim to improve vehicular networks' efficiency while minimizing negative impacts caused by factors like weather conditions or other external influences such as noise.

Problems solved by technology

This patented describes an algorithm that uses fuzicing techniques to optimize wireless networks' performance. It explains how changing environmental settings affects signal quality during vehicular communications due to various causes such as weather patterns and road construction. To solve this issue, we introduce Self Organized Fuzopynetic Nerve Net (SOFDN), where two layers - one layer learns from previous experiences and another layer generates new rules according to those learned values. By combining different types of inputs into specific ones, the algorithms create more efficient ways to transmit signals over multiple paths simultaneously without losing any important packets at all times.

Method used

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  • An adaptive rate selecting algorithm based on vehicle safety communication
  • An adaptive rate selecting algorithm based on vehicle safety communication

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specific Embodiment approach 1

[0015] The adaptive rate selection algorithm based on vehicle safety communication of the present embodiment, described adaptive rate selection algorithm is realized through the following steps:

[0016] In the first step, all parameters are initialized, and the PLR AVG , PLR INT , and PLR FAD All assigned as 0, the optimal rate is set to the basic rate (3Mbps);

[0017] In the second step, according to the principle of channel symmetry, each node uses Sym2PLR locally for average packet loss PLR AVG estimate of

[0018] The third step is to use Dis2PLR to perform fading packet loss PLR according to the relative distance of each node calculated by the application layer FAD estimate of

[0019] In the fourth step, according to the packet loss rate calculated in the first two steps, the influence of interference on packet loss PLR is obtained INT ;

[0020] The fifth step, using fuzzy decision FuzzyRateSelection, according to PLR FAD and PLR INT Get the best rate BestBitRat

specific Embodiment approach 2

[0021] Different from the specific embodiment one, the adaptive rate selection algorithm based on vehicle safety communication in this embodiment, the PLR ​​described in step one AVG The acquisition process is that the vehicle nodes all send safety messages, and for the reference node, it can continuously receive safety messages from other nodes using PLR i0 , represents the downlink packet loss rate sent from node i to reference node 0, according to channel symmetry theory, PLR 0i and PLR i0 is strongly symmetrically correlated, that is, the PLR ​​calculated for long time sampling 0i Equal to PLR i0 , the reference node can be calculated by calculating the PLR i0 to estimate the PLR 0i ,have to:

specific Embodiment approach 3

[0022] Different from the specific embodiment one or two, the adaptive rate selection algorithm based on vehicle safety communication in this embodiment, the PLR ​​described in step one FAD The acquisition process is,

[0023] The influence of fading on the average packet loss can be obtained by averaging the packet loss caused by channel fading of all nodes within the safe distance of the reference node:

[0024]

[0025] PLR INT =PLR AVG -PLR FAD .

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Abstract

The invention provides an adaptive rate selecting algorithm based on vehicle safety communication. When a fuzzy decision is utilized to perform selection of message transmission rate according to fading packet loss and interference packet loss, a large number of fuzzy rules and parameter sets are required to be designed, and the work is very complicated and even cannot be finished for a designer.All parameters are initialized, PLRAVG, PLRINT and PLRFAD are assigned to 0, an optimal rate is set as a base rate (3Mbps); each node adopts Sym2PLR to perform estimation of average packet loss PLRAVGin local according to a channel symmetry principle; Dis2PLR is adopted to perform the estimation of fading packet loss PLRFAD according to a relative distance of each node calculated by an application layer; influence PLRINT caused by interference on packet loss is obtained according to the first two steps; a fuzzy decision FuzzyRateSelection is adopted, an optional rate BestBitRate under the current environment is obtained according to the PLRFAD and the PLRINT and is returned. The design complexity of a fuzzy system is simplified.

Description

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Claims

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Application Information

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Owner HARBIN UNIV OF SCI & TECH
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