Abstract
The control of congestion is very important in the parallel transmission of blockchain-based data over high-speed networks. There are drawbacks to the conventional methods, such as interference between different transmission paths, the collision of data, and channel allocation policies to address these problems, there is a need to investigate newer methods for controlling the congestion on multipath channels for parallel transmission of data. The conventional methods cannot reduce the data packet queuing time, the packet loss rate, and latency time of packets. In parallel data transfer, especially in blockchain-based transactions, congestion control is critical. This research proposes and implements a data congestion control approach for multipath parallel transmission on IoT networks. The multipath parallel transmission path is established in this research work to enable the source node to sense the path congestion information in a real-time environment. Finally, the low congestion path is selected to avoid congestion for parallel data transmission and to achieve high throughput over the network channels. The simulation results show that the strategy provided in this paper minimizes data packet queuing time efficiently, boosts network channel throughput, and decreases data packet loss rate.
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