TCP IP Network Research Topics

TCP in Wireless Network research topics is now widely used in many of the applications. It is a protocol that handles the consistent data transmission along the devices over wireless communication. Then here we provide some of the concepts or details that are relevant to this proposed technique.

1. Define Transmission control (TCP) in wireless network?

In the starting stage of the research we look for the explanation for TCP in wireless networks. It is a protocol that is in control for making sure the consistent data transfer across the devices through wireless connections. It works on the transport layer of the OSI model and offers characters like flow control, congestion control, connection establishment and error detection. Sequence number, Flow control, Segmentation and reassembly, Header format4, Error detection and retransmission, Congestion control, connection establishment and termination and Acknowledgement and time mechanism are some of the components for TCP in wireless networks.

2. What is TCP in Wireless network?

At the next stage we see the in-depth description for this proposed technique. The TCP in wireless networks ensure the consistent distribution of data by utilizing approvals for error control, segmenting data and handling congestion and flow. It creates links with three-way greetings and concludes them by utilizing four-way greetings, adjusting the difficulties in variable signal strength and possible packet loss is essential in wireless communication. TCP Hybla, TCP Reno, TCP Westwood, TCP NewReno and TCP Vegas are the types of TCP in wireless networks.

3. Where TCP in Wireless network used?

After the in-depth description we converse where to utilize this proposed technique. It is widely employed in wireless networks along different applications, making consistent data delivery Inspite of the difficulties that were caused by variable signal strength and possible packet loss. It constructs the backbone of IoT devices, internet communication, VoIP systems, real-time streaming applications and mobile networks, allowing protective and ordered transmission of data through wireless connections.

4. Why TCP in Wireless network technology proposed? , previous technology issues

For this research the overall problem statement of the previous methods in transmission control protocol is absent due to the fairness issue, security issue, transmission delay, different network applications that linked with the congestion would generate its challenge to handle the TCP throughput and overload problem in the wireless network environment. Some of the issues in the previous technologies are as follows: Fairness issues, Overload, Security challenges, Varying network and transmission delay.

5. Algorithms / protocols

Here we provide the algorithms or methods that are used to overcome the issues in the previous technologies and it will face the challenges to propose this novel technique. The methods that we compared are as follows: RNN-based (LSTM with GRU), Fuzzy Logic Controller, SM4ECDS with Optiga Trust X, ZetaTCP, Fuzzy Logic Controller, Transport Assistant Reliability and Hierarchical feedback model.

6. Comparative study / Analysis

Our proposed TCP in wireless communication technology is compared with several methods or technology to tackle the issues in the existing technologies and to overcome that by comparing the techniques.

• We propose a SM4ECDS with Optiga Trust X technology to protect the transmission data. This proposed hybrid technique will ensure the reliability and privacy of the transmission data.
• After the data is received securely, then the RMM-LSTMGRU is employed to train the data on cloud servers.
• The Hierarchical Fuzzy Logic Feedback Controller with Zeta TCP optimization is utilized to improve the feedback mechanism and to improve network efficiency.

7. Simulation results / Parameters

In this research we have to achieve the high performance for this research by comparing several performance metrics or parameters to obtain that our research will give the best accuracy. The parameters or the performance metrics that we compared are as follows: Packet loss rate, Sending rate (Mbps) and Throughput (Bits/sec) with Time (ms) and the Average Delay (ms) with Number node and the Delay (ms) with Throughput and the RTT (ms) with Fairness index.

8. Dataset LINKS / Important URL

We proposed a TCP in wireless network technology that is one of the popular technologies for data transmission. The following are the links that we provided to go through the process in this proposed research.

• https://ieeexplore.ieee.org/abstract/document/9714149/
• https://ieeexplore.ieee.org/abstract/document/10024836/
• https://www.mdpi.com/1424-8220/22/10/3609
• https://www.sciencedirect.com/science/article/pii/S138912862300258X
• https://www.sciencedirect.com/science/article/pii/S1389128622003917

9. TCP in Wireless network Applications

Let’s look for the application to be used for this research. The applications that we utilized are Remote procedure cell (RPC), Remote access (SSH, Telnet), VPN (Virtual Private Network), Web Browsing (HTTP/ HTTPS), Email (SMTP, IMAP, POP3), Domain Name System (DNS), File Transfer (FTP, SFTP), Instant messaging (XMPP) and Database access (MySQL).

10. Topology for TCP in Wireless network

Now we see the topology for this proposed TCP in Wireless network, it contains the grouping of distributed and centralized architectures, with IoT devices that are linked to the local access points, that in turn linked to the cloud infrastructure through the internet.

11. Environment for TCP in Wireless network

The environment that utilize the Transmission Control Protocol (TCP) and enhance the throughput in a wireless network by utilizing an integration of IoT and cloud technologies, we will generate a working surroundings with the following components: TCP optimization, Cloud-based training, feedback loop, Cloud infrastructure, data transmission, IoT devices, and Wireless Access Points (APs).

12. Simulation tools

For our proposed research TCP in wireless networks, we utilize the following software requirements. The simulation tool here we used to implement the research is NS-3.26 with python or above. Then the operating system we employed to do the research is Ubuntu – 16.04 LTS or above.

13. Results

In this the proposed research is compared with several methods and then the performance metrics or the parameters are compared to obtain the best findings. The TCP in wireless network technique is a wireless communication system that makes sure the possible data transmission without any wired connection. This can be implemented by utilizing the operating system Ubuntu 16.06 LTS or above version.

TCP IP Wireless network Research Ideas:

The following are the research topics that are based on TCP in wireless network technology. These topics give some information about TCP in wireless network like concepts, uses, application and some other details related to our proposed research

1. Temporal Difference Learning Model for TCP End-To-End Congestion Control in Heterogeneous Wireless Networks
2. ML Assisted Feedback Mechanism for TCP Congestion Control in Next Generation Wireless Networks
3. Deep Reinforcement Learning Based TCP Congestion Control in UAV Assisted Wireless Networks
4. Oblivious TCP Support A Virtual Network Function to Speed Up TCP in Wireless Environments
5. Managing Energy Consumption of Wireless Multipath TCP Connections Using Software-Defined Networking: A Review
6. Boosting TCP & QUIC Performance in mmWave, Terahertz, and Lightwave Wireless Networks: A Survey
7. BBR-Based Congestion Control and Packet Scheduling for Bottleneck Fairness Considered Multipath TCP in Heterogeneous Wireless Networks
8. Multipath TCP Meets Reinforcement Learning: A Novel Energy-Efficient Scheduling Approach in Heterogeneous Wireless Networks
9. DRLFcc: Deep Reinforcement Learning-empowered Congestion Control Mechanism for TCP Fast Recovery in High Loss Wireless Networks
10. Loss-Aware Throughput Estimation Scheduler for Multi-Path TCP in Heterogeneous Wireless Networks
11. Scheduling for Time-Critical Applications Utilizing TCP in Software-Based 802.1Qbv Wireless TSN
12. TCP-Aware OFDMA Transmission Based on Traffic Intensity in Downlink and Uplink Directions in IEEE 802.11ax Wireless LANs
13. Performance Evaluation on Concurrent Connecting QUIC and TCP Nodes over Wireless LAN
14. U-NewReno transmission control protocol to improve TCP performance in Underwater Wireless Sensors Networks
15. TCP-WBQ: a backlog-queue-based congestion control mechanism for heterogeneous wireless networks
16. Improving Fairness and Convergence Efficiency of TCP Traffic in Multi-hop Wireless Networks
17. TCP CERL+: revisiting TCP congestion control in wireless networks with random loss
18. An Energy-Saving Scheduling Algorithm for Multipath TCP in Wireless Networks
19. An SDN-based true end-to-end TCP for wireless LAN
20. MuSher: An Agile Multipath-TCP Scheduler for Dual-Band 802.11ad/ac Wireless LANs
21. Multi Path TCP Over Network Coding for Wireless Network
22. A Cross-Layer Solution for Contention Control to Enhance TCP Performance in Wireless Ad-Hoc Networks
23. TCP Congestion Analysis of Wired and Wireless Links Using NS3
24. Leave No Cash on the Table: An Optimal Approach for Controlling Wireless TCP AIMD
25. Optimization of TCP Congestion Control Algorithms Loss-Based in Wireless Network
26. Wireless TCP Congestion Control Based on Loss Discrimination Approach Using Machine Learning
27. Research on the Effect of BBR Delay Detection Interval in TCP Transmission Competition on Heterogeneous Wireless Networks
28. Performance Analysis of TCP in Presence of Nonresponsive Traffic in Wireless Networks
29. On the Potential of Modern TCP Congestion Control Algorithms in Information-Centric Networking
30. Machine Learning-Driven Packet Loss Classification via TCP Jersey and Multi-Layer Perceptron
31. Ethernet Packet Transformation and Transmission Between Modbus/TCP and USB 3.0 with Field-Programmable Gate Array Development Board
32. Scalability Evaluation of a Modbus TCP Control and Monitoring System for Distributed Energy Resources
33. A Machine Learning-Based Approach for Improving TCP Congestion Detection Mechanism in IoTs
34. Comparative Analysis of Congestion Window Size and Throughput for BBR versus Elastic TCP
35. Evaluation on Segmented File Download Methods Using Parallel TCP/MPTCP Connections on Multiple Paths
36. Poster:Implementation and Performance Evaluation of TCP/IP Communication over Private LoRa
37. A Survey on Congestion Control and Scheduling for Multipath TCP: Machine Learning vs Classical Approaches
38. An Improved Cross Layer Design For TCP Optimization With Flow Control and Acknowledgment Aggregation
39. Revisiting TCP Pacing for Throughput Performance Enhancement Over TDD Band in Private Mobile Networks
40. Network Architecture and Protocol Design of Multi-Path TCP with Multiple Cellular Networks on High-Speed Trains
41. Cross Layer Design for TCP Optimization Through Flow Control and Adaptive Modulation and Coding
42. PathRakeTCP: Available Bandwidth Estimation Using Multiple TCP Connections for Passing through Firewalls
43. BBR Congestion Control Analysis with Multipath TCP (MPTCP) and Asymmetrical Latency Subflow
44. Data Feedback Mining of College English Multimodal Online Guidance System based on the Fusion of TCP and UDP Protocols
45. Detection and Analysis of Single Blackhole Node with TCP Connection in MANETs using Machine Learning Algorithms
46. A Comparative Review of Transmission Control Protocol (TCP) in 4G and 5G Networks: Advancements, Challenges, and Future Directions
47. The Effects of a Performance Enhancing Proxy on TCP Congestion Control over a Satellite Network
48. Oblivious TCP Support A Virtual Network Function to Speed Up TCP in Wireless Environments
49. Securing Modbus TCP Communications in I4.0: A Penetration Testing Approach Using OpenPLC and Factory IO
50. P4CCI: P4-Based Online TCP Congestion Control Algorithm Identification for Traffic Separation