Kalman Filter-Based Bandwidth and Round Trip Time Estimation for Concurrent Multipath Transfer Performance Optimization in SCTP

Concurrent multipath transfer (CMT) makes use of the multihoming feature of the Stream Control Transmission Protocol (SCTP) to transmit data over multiple end-to-end paths in a multihomed SCTP association. As the disparity of multipath, it is facing a great challenge to solve the disorder of the received data packets. To lighten the reordering degree and then to improve the throughput performance, we need to estimate the real-time paths’ bandwidth and Round Trip Time (RTT) as exactly as possible. The Kalman filter can estimate the current system state and predict the future states correctly by iterative method. In this chapter, we utilize the extended vector Kalman filter to estimate the available bandwidth and RTT of each path simultaneously. Furthermore, we propose a predictive data allocation algorithm for CMT in SCTP. The simulation results show that the data allocation algorithm based on the estimations of each path’s bandwidth and RTT can improve the system total throughput by lessening the data packet disordering.

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