Research of Wireless Congestion Control Algorithm Based on EKF

Abstract

The random variation of bandwidth in wireless networks causes some significant challenges to the congestion control protocols based on bandwidth estimation. In this paper, a wireless congestion control scheme based on extended Kalman filtering and bandwidth (CSEKB) is proposed. The CSEKB can effectively perceive the bandwidth oscillation of wireless networks and distinguish the type of packet loss by establishing a noise perception factor. According to the congestion factor, the congestion control parameters are adjusted to correspondingly improve the performance of the wireless network. Moreover, the variation trend of the size of the congestion window presents a law of similar normal distribution curve, which has a certain degree of local symmetry. The CSEKB was implemented in Network simulator 3 (NS3) and compared with TCP Westwood (TCPW), CUBIC, and extended Kalman filtering-based bandwidth estimation (EBE). Through extensive simulation studies, the proposed CSEKB demonstrated the significant performance in wireless networks. First, the CSEKB can achieve congestion control based on the accurate prediction of available bandwidth, and improve average throughput and link utilization. In addition, the CSEKB has good fairness and friendliness compared with several other well-known congestion control methods.

TCP-WBQ: a backlog-queue-based congestion control mechanism for heterogeneous wireless networks

“…The compared TCP variants include TCP-NewReno, Hybla, and TCP-W, which are widely applied to heterogeneous wireless networks. Meanwhile, we also compare Westwowd-ekf 36 in simulations, which uses extended Kalman Filter instead of Tustin Filter in TCP-W to compensate for the random packet loss. In the other topology of the parking lot which means multiple bottlenecks, we compare the prevalent TCP variants in wireless and large bandwidth delay product (BDP) networks, which include TCP-BBR, TCP-Hit, and TCP-Veno.…”