Improved BEB Algorithm for Computer Network Optimization

This paper proposes an end-to-end delay optimization algorithm for distributed networks based on BEB algorithm. Aiming at the requirements of distributed two-level cooperative control on the communication quality and sampling period of wireless sensor networks, the end-to-end delay optimization method to maximize the packet arrival rate is adopted to obtain the minimum sampling period of the control system under the premise of ideal wireless communication soft QoS guarantee. The simulation results show the influence of network parameters such as packet arrival rate, maximum backoff window size, multi-hop number and packet size on the end-to-end delay performance of the network, and obtain the optimal packet arrival rate under the premise of satisfying the ideal wireless communication soft QoS guarantee.