An Aggregate Parameter for Congestion Detection in VANETs

2012 ◽  
Author(s):  
Di Wu ◽  
Dongxia Zhang ◽  
Limin Sun
Keyword(s):  
Congestion Detection

An Effective Congestion Control Algorithm based on Traffic Assignment and Reassignment in Wireless Sensor Network

2020 ◽  
Vol 13 (8) ◽  
pp. 1166-1174
Author(s):  
Chao Wang
Keyword(s):  
Wireless Sensor Network ◽  
Congestion Control ◽  
Sensor Network ◽  
Traffic Assignment ◽  
Transmission Rate ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Detection ◽  
Detection Technology ◽  
Average Transmission

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.

Exploiting Fog Computing with an Adapted DBSCAN for Traffic Congestion Detection System

2020 ◽  
Author(s):  
Maycon L. M. Peixoto ◽  
Edson M. Cruz ◽  
Adriano H. O. Maia ◽  
Mariese C. A. Santos ◽  
Wellington V. Lobato ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Detection System ◽  
Fog Computing ◽  
Congestion Detection

scholarly journals Congestion Detection Strategies in Wireless Sensor Networks: A Comparative Study with Testbed Experiments

2014 ◽  
Vol 37 ◽  
pp. 168-175 ◽  
Author(s):  
Mohamed Amine Kafi ◽  
Djamel Djenouri ◽  
Jalel Ben Othman ◽  
Abdelraouf Ouadjaout ◽  
Nadjib Badache
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Comparative Study ◽  
Wireless Sensor ◽  
Congestion Detection ◽  
Testbed Experiments ◽  
Detection Strategies

scholarly journals HOW TRAVEL DEMAND AFFECTS DETECTION OF NON-RECURRENT TRAFFIC CONGESTION ON URBAN ROAD NETWORKS

2016 ◽  
Vol XLI-B2 ◽  
pp. 159-164 ◽  
Author(s):  
B. Anbaroglu ◽  
B. Heydecker ◽  
T. Cheng
Keyword(s):  
Traffic Congestion ◽  
Travel Demand ◽  
Evaluation Criteria ◽  
Road Networks ◽  
Daily Basis ◽  
Detection Methods ◽  
Just In Time ◽  
Urban Road ◽  
Time Estimates ◽  
Congestion Detection

Occurrence of non-recurrent traffic congestion hinders the economic activity of a city, as travellers could miss appointments or be late for work or important meetings. Similarly, for shippers, unexpected delays may disrupt just-in-time delivery and manufacturing processes, which could lose them payment. Consequently, research on non-recurrent congestion detection on urban road networks has recently gained attention. By analysing large amounts of traffic data collected on a daily basis, traffic operation centres can improve their methods to detect non-recurrent congestion rapidly and then revise their existing plans to mitigate its effects. Space-time clusters of high link journey time estimates correspond to non-recurrent congestion events. Existing research, however, has not considered the effect of travel demand on the effectiveness of non-recurrent congestion detection methods. Therefore, this paper investigates how travel demand affects detection of non-recurrent traffic congestion detection on urban road networks. Travel demand has been classified into three categories as low, normal and high. The experiments are carried out on London’s urban road network, and the results demonstrate the necessity to adjust the relative importance of the component evaluation criteria depending on the travel demand level.

scholarly journals A STUDY ON IMPROVEMENT OF CONGESTION DETECTION

1983 ◽  
Vol 1983 (330) ◽  
pp. 121-127
Author(s):  
Masato IWASAKI ◽  
Masaki KOSHI ◽  
Izumi OKURA
Keyword(s):  
Congestion Detection

RoadSphygmo: Using barometer for traffic congestion detection

2016 ◽  
Author(s):  
Anuj Dimri ◽  
Harsimran Singh ◽  
Naveen Aggarwal ◽  
Bhaskaran Raman ◽  
Diyva Bansal ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Congestion Detection
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