A DSP-based approach to congestion control for multihop ad hoc Wlans with BOD access

Technology such as vehicular ad hoc networks can be used to enhance the convenience and safety of passenger and drivers. The vehicular ad hoc networks safety applications suffer from performance degradation due to channel congestion in high-density situations. In order to improve vehicular ad hoc networks reliability, performance, and safety, wireless channel congestion should be examined. Features of vehicular networks such as high transmission frequency, fast topology change, high mobility, high disconnection make the congestion control is a challenging task. In this paper, a new congestion control approach is proposed based on the concept of hybrid power control and contention window to ensure a reliable and safe communications architecture within the internet of vehicles network. The proposed approach performance is investigated using an urban scenario. Simulation results show that the network performance has been enhanced by using the hybrid developed strategy in terms of received messages, delay time, messages loss, data collision and congestion ratio.

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Multipath Rate based Congestion Control for Mobile Ad Hoc Networks

International Journal of Computer Applications ◽

10.5120/8723-2595 ◽

2012 ◽

Vol 55 (1) ◽

pp. 42-47 ◽

Cited By ~ 2

Author(s):

S. Soundararajan ◽

R. S. Bhuvaneswaran

Keyword(s):

Ad Hoc Networks ◽

Congestion Control ◽

Mobile Ad Hoc Networks ◽

Ad Hoc ◽

Mobile Ad Hoc ◽

Hoc Networks

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A Fuzzy-Based Congestion Control Scheme for Vehicular Adhoc Network Communication

International Journal of Smart Vehicles and Smart Transportation ◽

10.4018/ijsvst.2021010101 ◽

2021 ◽

Vol 4 (1) ◽

pp. 1-15

Author(s):

Samuel Ibukun Olotu ◽

Olumide Sunday Adewale ◽

Bolanle Adefowoke Ojokoh

Keyword(s):

Congestion Control ◽

Ad Hoc ◽

Power Transmission ◽

Transmission Rate ◽

Contention Window ◽

Delivery Ratio ◽

Self Organized ◽

Traffic Scenario ◽

Service Oriented ◽

Parameter Values

Vehicular ad hoc network (VANET) is a self-organized, multi-purpose, service-oriented communication network that enables communication between vehicles and between vehicles and roadside infrastructures for the purpose of exchanging messages. In a dense traffic scenario, the message traffic may generate a load higher than the available capacity of the transmission medium leading to channel congestion problem. This situation leads to a rise in packet loss rates and transmission delay. Some existing congestion control schemes adapt the transmission power, transmission rate, and contention window parameters by making comparison with neighboring values through classical logic. However, the approach does not consider points between two close parameter values. This work uses fuzzy logic to improve the adaptation process of the network contention window parameter. The proposed scheme achieved a 15% higher in-packet delivery ratio and 10ms faster transmission compared with related work in terms end-to-end delay.

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