• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2016, Volume: 9, Issue: 46, Pages: 1-8

Original Article

HCCA for Wireless Mobile Coverage Networks


Objectives: To reduce performance degradation caused by traffic congestion and improves the network service quality using HCCA (Hybrid Congestion Control Algorithm). Methods/Statistical Analysis: Congestion provides the source of packet loss, throughput degradation and increased power consumption. The performance of media streaming under wireless mobile coverage networks depends on congestion control metric to avoid the traffic load. In this paper, we propose a new HCCA (Hybrid Congestion Control Algorithm) to efficiently control the traffic congestion for wireless mobile coverage networks. To address the traffic congestion problem, the proposed method considers a hybrid congestion control algorithm, based on a RBM (Rate-Based Method) and a BBM (Buffer-Based Method) to adjust the stream packet rate and sufficiently utilize the buffer cache for client nodes. Findings: The role of congestion detection in HCCA is affected by the network performance and QoS (Quality of Service) for each client node. To perform the above process, each client node makes use of its current remaining buffer capacity and traffic capacity. Then, the congestion decision procedure reflects the traffic rate for each client node. As such, each client node use itself congestion rate and neighbors’ congestion information to prevent the excessive congestion caused by explosive traffic load. The simulation results show that the proposed method has better performance than the other existing methods. Improvements/Applications: In case of congestion control algorithms, each client nodes does not efficiently control the traffic caused by the explosive data flow and adhesive flow stream. The proposed HCCA have that controls effectively problems generated from network bottleneck.

Keywords: BBM, Congestion, HCCA, Mobile Coverage Network, Traffic Load, RBM


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