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
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[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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