Design and Analysis of a Backpressure Congestion Control Algorithm in Wireless Sensor Network

Author(s):  
Ying Ouyang ◽  
Chuang Lin ◽  
Fengyuan Ren ◽  
Hongkun Yang ◽  
Xiaomeng Huang ◽  
...  
2017 ◽  
Vol 13 (11) ◽  
pp. 144
Author(s):  
Hongfeng Sun

<p style="margin: 1em 0px;"><span lang="EN-US"><span style="font-family: 宋体; font-size: medium;">In order to develop a fast and convenient traffic information collection system, the wireless sensor traffic information collection system based on congestion control algorithm is designed. This new system reduces the operation and maintenance costs and improves the efficiency of traffic information collection. By analyzing the wireless sensor network, the application of wireless sensor network in intelligent traffic information collection system is discussed. In addition, the design scheme of traffic information collection system is designed. After analyzing the size of the network in the scheme, the congestion problem in the scheme is discussed finally. The simulation results show that the node communication radius is 50 m when the simulation scene is located in the monitoring area, while the MAC protocol is 802.11 DCF and the initial energy of all nodes is 1 J. Based on the above finding, it is concluded that the congestion control algorithm has better throughput, network delay and network energy consumption, which is suitable for the wireless sensor traffic information collection system.</span></span></p>


Author(s):  
Chao Wang

Background: It is important to improve the quality of service by using congestion detection technology to find the potential congestion as early as possible in wireless sensor network. Methods: So an improved congestion control scheme based on traffic assignment and reassignment algorithm is proposed for congestion avoidance, detection and mitigation. The congestion area of the network is detected by predicting and setting threshold. When the congestion occurs, sensor nodes can be recovery quickly from congestion by adopting reasonable method of traffic reassignment. And the method can ensure the data in the congestion areas can be transferred to noncongestion areas as soon as possible. Results: The simulation results indicate that the proposed scheme can reduce the number of loss packets, improve the throughput, stabilize the average transmission rate of source node and reduce the end-to-end delay. Conclusion: : So the proposed scheme can enhance the overall performance of the network. Keywords: wireless sensor network; congestion control; congestion detection; congestion mitigation; traffic assignment; traffic reassignment.


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