End-to-end Quality of Service Ensuring Method for Wireless Cognitive Networks Based on Genetic Algorithm

A genetic algorithm and cognitive network technology, applied in the field of mobile self-organizing networks, can solve the problems of lack of centralized control infrastructure, limited resources, and no consideration of such factors, to enhance adaptability and flexibility, enhance Flexibility, the effect of enhancing adaptability

Inactive Publication Date: 2011-12-28
BEIHANG UNIV
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Problems solved by technology

However, there are also some problems in the network, such as limited resources, intermittent and intermittent availability of wireless links, lack of centralized control infrastructure, etc., which make end-to-end QoS assurance problems in mobile ad hoc networks face many problems. challenge
[0003] The current existing research on end-to-end QoS assurance in mobile ad hoc networks mainly has the following problems: First, the end-to-end QoS assurance method is not universal
For example, the encoding method of video and audio is one of the important factors affecting the QoS of multimedia services, so many studies on its QoS guarantee focus on the encoding method, but there is no such factor in the end-to-end QoS guarantee of many other applications consideration
Second, there are some correlations between QoS indicators, and the guarantee of some of them may affect the performance of other indicators.
Most of the current research can only ensure a single QoS indicator, and ensuring multiple QoS indicators at the same time is usually an NP problem, which needs to be solved with the help of some intelligent algorithms
Third, most current methods are relatively weak in coping with environmental changes, especially mobile ad-hoc networks whose environment can change at any time. The adaptive ability of the method should be enhanced so that it can quickly adapt to changes in the environment. It is necessary to respond

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  • End-to-end Quality of Service Ensuring Method for Wireless Cognitive Networks Based on Genetic Algorithm
  • End-to-end Quality of Service Ensuring Method for Wireless Cognitive Networks Based on Genetic Algorithm
  • End-to-end Quality of Service Ensuring Method for Wireless Cognitive Networks Based on Genetic Algorithm

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Embodiment Construction

[0018] The basic principle of the end-to-end QoS assurance method based on genetic algorithm for wireless cognitive network is as follows: figure 1 As shown in , it mainly includes three parts: perception QoS index, intelligent decision-making and action.

[0019] The perceived QoS index part is to obtain end-to-end QoS information that reflects the process of service operation, including end-to-end delay, jitter, packet loss rate and other information. This process is realized by sending QoS information statistics data packets. For a flow of this process, see figure 2 ,Specific steps are as follows:

[0020] 1) define a global variable QoS_ID, which is used to identify the QoS information statistical data packet, which is encapsulated in the QoS information statistical data packet, so that the data packet can be identified;

[0021] 2) Set the three variables of sensing time Sense_time, QoS information statistics time QoS_period and timer t at the destination end of the se...

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Abstract

The invention relates to a genetic algorithm based antenna recognition network end-to-end service quality guaranteeing method, which adopts the wireless recognition network technology, and mainly comprises quality of service (QoS) index, intelligent decision and network reconfiguration in perception service running process. The QoS index in the perception service running process is used for evaluating the current service running state and for providing decision foundation to the intelligent decision process; the intelligent decision process adopts adjustable parameters in a network protocol stack as input, the genetic algorithm capable of solving multipurpose optimization problem is adopted, and an adjustable parameter value which can optimize the multiple multi QoS indexes is searched ina value space of each adjustable parameter; and the action process adopts the result of the intelligent decision as input, and the network is reconfigured according to the solved adjustable parametervalue so as to guarantee the service end-to-end QoS and optimize the network end-to-end performance.

Description

technical field [0001] The invention relates to a mobile ad hoc network with cognitive functions, and belongs to the technical field of end-to-end service quality assurance in the mobile ad hoc network. Background technique [0002] In recent years, the end-to-end quality of service (QoS) assurance in mobile ad hoc networks has attracted extensive attention from domestic and foreign experts, scholars and scientific research institutions. End-to-end QoS refers to the total effect of all nodes and link service performance involved in the data transmission process, which determines a user's satisfaction with the service, and is usually described by several basic performance indicators, including link availability, throughput amount, delay, jitter, packet loss rate, connection establishment time, etc. Mobile ad hoc networks are widely used in various fields of society due to their strong flexibility, survivability and self-organization capabilities. However, there are also som...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W28/24
Inventor 白跃彬彭惠星
Owner BEIHANG UNIV
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