The current access point load dynamic equilibrium algorithm takes user behavior as the equilibrium standard, which leads to the long processing time of the access point and the high loss of packets caused by transmission. Therefore, the load dynamic balancing algorithm based on software defined wireless network for different access points is studied. Under the wireless network architecture defined by the designed software, the association analysis of network access points is carried out. After setting the access point load balancing standard, the virtual access point is used to formulate the load balancing strategy to realize the load balancing of different access points. The simulation results show that the equilibrium waiting time of the network access point is shortened by about 50%, and the packet loss rate decreases significantly. The load balancing effect of the access point is good.
In order to optimize the delay of data transmission and the routing efficiency of routing search algorithm, an adaptive routing search algorithm for SRIO network based on chaotic ant colony algorithm is proposed. This paper analyzes the principle of SRIO network transfer transaction, and selects routing information by exchanging properties of SRIO network packets. Using chaotic ant colony algorithm, the LEACH protocol of SRIO network is established to search the best relay node adaptively, and the SRIO network routing adaptive search algorithm is designed. Experimental results show that the proposed algorithm can effectively reduce the delay of data transmission and optimize the routing efficiency.
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