A source-based congestion control strategy for real-time video transport on IP network

2005 ◽  
Author(s):  
Xia Chen ◽  
Canhui Cai
Keyword(s):  
Congestion Control ◽  
Real Time ◽  
Control Strategy ◽  
Video Transport ◽  
Ip Network

scholarly journals A Distributed Congestion Control Strategy Using Harmonic Search Algorithm in Internet of Vehicles

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Meiyu Pang ◽  
Jianing Shen ◽  
Lixiu Wu
Keyword(s):  
Congestion Control ◽  
Real Time ◽  
Control Strategy ◽  
Time Window ◽  
Search Algorithm ◽  
Transmission Rate ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Internet Of Vehicles ◽  
Data Message

Aiming at the diversified requirements of network application QoS (Quality of Service) in the terminal equipment of Internet of Vehicles, this paper proposes a distributed congestion control strategy based on harmony search algorithm and the Throughput Evaluation Priority Adjustment Model (TEPAM) to ensure real-time transmission of high-priority data messages related to security applications. Firstly, the channel usage rate is periodically detected and the congestion is judged; then, in order to minimize delay and delay jitter as the goal, harmony search algorithm is utilized to perform global search to obtain a better solution for the transmission range and transmission rate. Secondly, packet priority and the TEPAM are applied to indicate the sending right of each packet. The data message priority and throughput percentage factor are used to express the transmission weight of each data message. Besides, the real-time evaluation of path state in MPTCP is carried out by the batch estimation theory model, which realizes the on-demand dynamic adjustment of the network congestion time window. Finally, SUMO, MOVE, and NS2 tools are used to create a VANET-like environment to evaluate the performance of the proposed congestion control strategy. Experimental results show that the proposed method is superior to other three methods in the four indicators of average delay time, average transmission rate, number of retransmissions, and packet loss rate compared with other advanced methods.

scholarly journals Adaptive PV Frequency Control Strategy Based on Real-time Inertia Estimation

2020 ◽  
pp. 1-1
Author(s):  
Yu Su ◽  
Hongyu Li ◽  
Yi Cui ◽  
Shutang You ◽  
Yiwei Ma ◽  
...  
Keyword(s):  
Real Time ◽  
Control Strategy ◽  
Frequency Control

Longitudinal and lateral collision avoidance control strategy for intelligent vehicles

2021 ◽  
pp. 095440702110240
Author(s):  
Ziyu Zhang ◽  
Chunyan Wang ◽  
Wanzhong Zhao ◽  
Jian Feng
Keyword(s):  
Real Time ◽  
Collision Avoidance ◽  
Decentralized Control ◽  
Control Strategy ◽  
Centralized Control ◽  
Lateral Control ◽  
Time Performance ◽  
Collision Avoidance Control ◽  
Avoidance Control ◽  
Control Accuracy

In order to solve the problems of longitudinal and lateral control coupling, low accuracy and poor real-time of existing control strategy in the process of active collision avoidance, a longitudinal and lateral collision avoidance control strategy of intelligent vehicle based on model predictive control is proposed in this paper. Firstly, the vehicle nonlinear coupling dynamics model is established. Secondly, considering the accuracy and real-time requirements of intelligent vehicle motion control in pedestrian crossing scene, and combining the advantages of centralized control and decentralized control, an integrated unidirectional decoupling compensation motion control strategy is proposed. The proposed strategy uses two pairs of unidirectional decoupling compensation controllers to realize the mutual integration and decoupling in both longitudinal and lateral directions. Compared with centralized control, it simplifies the design of controller, retains the advantages of centralized control, and improves the real-time performance of control. Compared with the decentralized control, it considers the influence of longitudinal and lateral control, retains the advantages of decentralized control, and improves the control accuracy. Finally, the proposed control strategy is simulated and analyzed in six working conditions, and compared with the existing control strategy. The results show that the proposed control strategy is obviously better than the existing control strategy in terms of control accuracy and real-time performance, and can effectively improve vehicle safety and stability.

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