Multipath TCP research topics

Multipath TCP environment research topic is now widely employed to enhance throughput and redundancy. Various technologies and parameters are examined in this research to get strong outcomes. Below we provided some multipath TCP environment based concepts, applications, technologies and parameters.

1. Define multipath TCP environment?

At the beginning we first take a look at the definition of multipath TCP environment it is a continuous attempt of the Internet Engineering task Force’s aim to allow a TCP in the multipath working team to be linked in multiple ways to maximize the redundancy and increase the throughput.

2. What is multipath TCP environment?

Next to the definition of multipath TCP environment we see the detailed explanation. Several TCP sub-flows at the same time data are transmitted on one connection at end hosts in MPTCP.

3. Where multipath TCP environment is used?

After the explanation of multipath TCP environment, we have discuss a where to include multipath TCP environment. It is mainly used for wireless network communication; both Mobile networks and Wi-Fi are used in commonly. Also, to grow throughput from reverse multiplexing, without breaking TCP end-to-end connection can be included or eliminated as the user movement in or out of exposure.

4. Why multipath TCP environment technology is proposed? Previous technology issues

Multipath TCP environment that can be used for all paths of delivery traffic, it can be established among the source and destination, and the suggested method proved better load balancing, enhance the flexibility against network disappoint, and maximize the throughput.

5. Algorithms / protocols

The multipath TCP environment is suggested in this work and it overcomes the difficulties in this work, here we have offer some technologies or methods to be utilized for multipath TCP environment are Network coding technique with initial 3- way handshake (NCT-I3-H) for security, Lyapunov optimization technique with age of buffer bloat optimizations (LOT-AoBBo) for scheduling decisions, Explicit Congestion Notification mechanism- Multi-stream Hierarchical Scheduling (ECN-M-sHS) for allocation and scheduling, Veno algorithm for congestion detection with estimation of RTT. By using an improved Passive Ping, eBPF enables effective passive network latency monitoring. (ePPing)- Veno-RTT- eBPF-ePPing for congestion control, Learning Driven Latency Aware – Hidden Markov Model  (LDLA-MPTCP)- HMM for data transmission.

6. Comparative study / Analysis

Following the algorithms or protocols to be developed in our work, we have to compare some techniques to analyze the corresponding results; here we provide some technologies to be compared are listed below:

• For enhanced data security we introduce Network coding. This method improves the data transmission security. A session key is used for delivery of resilient devices, based secure transformation among entities. In this method protects the data form other attacks. Initial 3-way handshake technique is very important for developing multipath TCP linking. By swapping authenticating on the keys and applying encryption during this phase to promising for strong secure communication in this study. And the Network coding technique with the initial 3- way handshake (NCT-I3-H) method provides more security in multipath TCP.
• For decision for scheduler we suggest Lyapunov optimization theory and buffer bloat optimizations. Multipath TCP scenario in enhanced multipath utilization plays a major role in scheduler. In this method recommended a dynamically changing network situations, bandwidth availability, latency, and security condition. It considers the user cost, not only the transmission performance. Several intelligent scheduling plans have been introduced to enhance the performance of the multipath TCP. Most of the schedulers prefer and adapted to buffer blot optimization for evaluations and implementations. Network coding methods and secure key deliver techniques using schedulers for path priority selection based security, and also offering better performance.
• For scheduling based prioritization and differentiation we introduce Explicit Congestion Notification mechanism. To provide priority-based traffic classification, and separate data streams. Examined to enhance the efficient data transmission for range prioritization plans. It is established depending on the specific area of the undergoing data transmission, in this method including less latency and maximum bandwidth for path prioritization. Multi-stream hierarchical scheduling technology is used to maximize the high priority stream transmission speed. Explicit Congestion Notification mechanism- Multi-stream Hierarchical Scheduling method is used for scheduling and effective resource allocation.
• For content aware congestion control we recommend Veno-RTT- eBPF-ePPing method. To decrease the throughput, delay and effectively eliminate the congestion control. Veno method is used for estimating RTT and detecting congestion. Effective passive network monitoring using eBPf, and congestion control monitoring using evolved Passive Ping method.
• For data communication through MPTCP we introduce LDLA-MPTCP algorithm. To use for real time data transmission. Reduce the latency; enhance the transmission accuracy, and effective path selection on old data using machine learning algorithms. To improve the forecast abilities for LDLA MPTCP structure using Hidden Markov Model. LDLA-MPTCP- HMM method used for find the future network link condition based on the historical data condition, offering effective opening point for multipath routing, and automatically adapted to changing all network situations.

7. Simulation results / Parameters

Successfully achieving the comparative analysis, we have to compare varies parameters for the multipath TCP environment to find consistent outcome.

For multipath TCP environment we compare the parameter like authentication time, delay, packet size, and time these all parameters were compared with No of user, throughput, packet loss, transmission rate, queue length these are the parameters that we compared to find the best results.

8. Dataset LINKS / Important URL

The parameters we selected are compared to obtain the best results, and then afterwards we provide some important links here that is very useful to summary the multipath TCP environment uses, application and some additional references for any explanation we use through the following links;

• https://ieeexplore.ieee.org/abstract/document/10053647/
• https://www.sciencedirect.com/science/article/pii/S0140366422002481
• https://ieeexplore.ieee.org/abstract/document/10049750/

9. Multipath TCP environment Applications

We provide some application for multipath TCP environment like many internet applications, including the World Wide Web (WWW), email, File Transfer Protocol, Secure Shell, peer-to-peer file sharing, and streaming media.

10. Topology Multipath TCP environment

The multipath TCP environment offers some topology like network layer, transport layer, and application Layer.

11. Environment in Multipath TCP

Here we discuss the environment in multipath TCP; it is used for 5G environment.

12. Simulation tools

The proposed system requires the subsequent software requirements. We require that the multipath TCP environment to implement this work by incorporating the python and it is developed by the tool NS 3.26. The operating system that is required for the work is Ubuntu 16.04 or above version. These are all the software requirements that we employed for multipath TCP environment.

13. Results

Multipath TCP environment is to improve the throughput and redundancy; we have recommended in this research to overcome the previous issues or limitations. In this we compared various approaches to analyze and utilize different parameters to find the perfect output for this research. The software requirements that need to be implemented the research is python and the tool is NS 3.26.

Multipath TCP Research Ideas:

1. A Q-learning driven energy-aware multipath transmission solution for 5G media services
2. Performance analysis of Multipath Transport layer schedulers under 5G/B5G hybrid networks
3. Multipath TCP meets Reinforcement Learning: A novel energy-efficient scheduling approach in heterogeneous wireless networks
4. Musher: An agile multipath-tcp scheduler for dual-band 802.11 ad/ac wireless lans
5. Learning-based Real-Time Transmission Control for Multi-Path TCP Networks
6. Multipath Transport Analysis over Cellular and LEO Access for Aerial Vehicles
7. Toward the Implementation of MPTCP Over mmWave 5G and Beyond: Analysis, Challenges, and Solutions
8. Fair and Efficient Distributed Edge Learning With Hybrid Multipath TCP
9. Multipath TCP Control Scheme for Low Latency and High Speed XR Real-Time M&S Devices
10. Implementation of P4-Based Schedulers for Multipath Communication
11. Intelligent Multi-Path TCP Congestion Control for video streaming in Internet of Deep Space Things communication
12. Improving 5G Performance in Critical Environments through MPTCP
13. ACCeSS: Adaptive QoS-aware Congestion Control for Multipath TCP
14. A Survey on Congestion Control and Scheduling for Multipath TCP: Machine Learning vs Classical Approaches
15. Sectors, beams and environmental impact on the performance of commercial 5G mmWave cells: An empirical study
16. DeepPath: Multi-path Traffic Scheduling Algorithm for 5G High Dynamic Network
17. Using multipath TCP and opportunistic routing in IoT network
18. MPTCP performance simulation in multiple LEO satellite environment
19. An In-depth Analysis of Subflow Degradation for Multi-path TCP on High Speed Rails
20. SDN-based service mobility management in MEC-enabled 5G and beyond vehicular networks
21. GADaM on the road-Smart Approach to Multi-Access Networks: Analytical and Practical Evaluation in Various Urban Mobile Environments
22. MPTCP-based security schema in fog computing
23. A Machine Learning Based MPTCP Subflow Control Algorithm for Multi-access Heterogeneous Networks
24. Low-delay cost-aware multipath scheduling over dynamic links for access traffic steering, switching, and splitting
25. Investigating predictive model-based control to achieve reliable consistent multipath mmWave communication
26. Optimizing multipath QUIC transmission over heterogeneous paths
27. Intelligent Multi-Path TCP Congestion Control for video streaming in Internet of Deep Space Things communication
28. An intelligent path management in heterogeneous vehicular networks
29. A path characteristics based adaptive subflow switching algorithm for dynamic heterogeneous MPTCP network
30. Energy efficient framework to implement next generation network protocol using ATM technology
31. Multi-stage resource-aware congestion control algorithm in edge computing environment
32. Network coding and MPTCP: Enhancing security and performance in an SDN environment
33. Deep Reinforcement Learning perspectives on improving reliable transmissions in IoT networks: Problem formulation, parameter choices, challenges, and future
34. Air-to-ground real-time multimedia delivery: A multipath testbed
35. Mobility management enhancement in smart cities using software defined networks
36. An SDN perspective IoT-Fog security: A survey
37. Adaptive cross-layer handover algorithm based on MPTCP for hybrid LiFi-and-WiFi networks
38. Machine learning based fast self optimized and life cycle management network
39. Server-side QUIC connection migration to support microservice deployment at the edge
40. Multipath transmission aware ABR algorithm for SVC HAS
41. QoS provision for vehicle big data by parallel transmission based on heterogeneous network characteristics prediction
42. Transport in the IP-based Internet of Things: status report
43. Multi-round auction-based resource allocation for edge computing: Maximizing social welfare
44. Unlocking QoS Potential: Integrating IoT services and Monte Carlo Control for heterogeneous IoT device management in gateways
45. The PoundCloud framework for ROS-based cloud robotics: Case studies on autonomous navigation and human–robot interaction
46. Surveying 5G techno-economic research to inform the evaluation of 6G wireless technologies
47. quicSDN: Transitioning from TCP to QUIC for southbound communication in software-defined networks
48. Intelligent subflow steering in MPTCP-based hybrid Wi-Fi and LiFi networks using model-augmented DRL
49. POSTER: Multipath Transport for Video Streams in Heterogeneous Wireless Environments
50. Exploiting multihoming capabilities in 5G-enabled IoT nodes