Using Agent System to Enhance Performance of Internet Connections
📜 Abstract
In this paper a framework is proposed for using an agent based approach to enhance the use of bandwidth, reduce latency, congestion, and improve the overall performance of data exchange on the Internet. The model includes adaptive mechanisms for optimizing the Transmission Control Protocol (TCP) based on learning from the environment. Simulation results using the Network Simulator 2 (NS-2) confirm that the proposed approach can lead to considerable improvements in performance compared with the traditional methods.
✨ Summary
This paper presents an agent-based system aimed at improving the performance of Internet connections by optimizing bandwidth usage, reducing latency and congestion, and enhancing data exchange. The researchers utilized an adaptive mechanism that adjusts the TCP based on environmental learning to achieve these optimizations. The Network Simulator 2 (NS-2) was used to validate the approach, showing significant improvements over traditional methods.
The paper’s influence or impact on subsequent research and development appears to be limited, as no significant citations or references were found in prominent databases such as Google Scholar or in industry-related developments up to the date of review. This may indicate a niche or highly specialized area of interest that has not yet been broadly adopted or cited in subsequent research or industry applications. Nonetheless, the contribution to the field of computer networks, especially in the optimization of TCP, remains valuable for those investigating agent systems and adaptive network management strategies.