Link 11 Network Simulation Based on OMNeT++

Huang, Biao; Huang, Gan; Wang, Yongbin; Gao, Jun; Feng, Chengxu; Li, Zhen

doi:10.2991/iccsee.2013.123

“…The implementation of the modules is defined in the NED language that is programmed in C++. New modules can be derived from basic libraries or classes of other modules [38,39].…”

Section: Omnet++ Network Simulator Chapter 3 Methodology and Simulation Experimentsmentioning

confidence: 99%

“…This framework is commonly used for communication networks, which comprise of the mobility and handover functions, in order to achieve the functions in a transparent and efficient way. It has been developed to include some models that are useful to simulate wired and wireless network such as TCP, UDP, SCTP, ICMP, Ethernet, IPv4, IPv6, PPP, 802.11, 802.16, and some routing protocols [42,38].…”

Section: Inet Frameworkmentioning

confidence: 99%

Performance evaluation of mixed SCTP and TCP traffic over last hop wifi

Naith¹

2021

Preprint

0

View full text Add to dashboard Cite

The use of the internet has increased significantly with the continued increase in wireless communication devices. Recently, there is a large number of research contribution focused on Stream Control Transmission Protocol (SCTP). Multi-homing is an important feature of SCTP which improves the communication performance by usage of multiple paths during association establishment, and it can bring significant improvements of throughput. In this thesis we evaluate the performance of SCTP and TCP traffic in the WLANs and we investigate the SCTP multi-homing to improve the communication performance in WLANs. We conducted some experiments to evaluate the performance of SCTP multi-homed host under various channel bit rates and mobility speeds. The results indicate that when the intensity of background traffic increases the SCTP multi-homed host with higher channel bit rate has better performance. In addition, the SCTP multi-homed host with using lower mobility speed has higher performance (throughput, delay and packet loss).

show abstract

“…The implementation of the modules is defined in the NED language that is programmed in C++. New modules can be derived from basic libraries or classes of other modules [38,39].…”

Section: Omnet++ Network Simulator Chapter 3 Methodology and Simulation Experimentsmentioning

confidence: 99%

“…This framework is commonly used for communication networks, which comprise of the mobility and handover functions, in order to achieve the functions in a transparent and efficient way. It has been developed to include some models that are useful to simulate wired and wireless network such as TCP, UDP, SCTP, ICMP, Ethernet, IPv4, IPv6, PPP, 802.11, 802.16, and some routing protocols [42,38].…”

Section: Inet Frameworkmentioning

confidence: 99%

Performance evaluation of mixed SCTP and TCP traffic over last hop wifi

Naith¹

2021

Preprint

0

View full text Add to dashboard Cite

The use of the internet has increased significantly with the continued increase in wireless communication devices. Recently, there is a large number of research contribution focused on Stream Control Transmission Protocol (SCTP). Multi-homing is an important feature of SCTP which improves the communication performance by usage of multiple paths during association establishment, and it can bring significant improvements of throughput. In this thesis we evaluate the performance of SCTP and TCP traffic in the WLANs and we investigate the SCTP multi-homing to improve the communication performance in WLANs. We conducted some experiments to evaluate the performance of SCTP multi-homed host under various channel bit rates and mobility speeds. The results indicate that when the intensity of background traffic increases the SCTP multi-homed host with higher channel bit rate has better performance. In addition, the SCTP multi-homed host with using lower mobility speed has higher performance (throughput, delay and packet loss).

show abstract

Communication behavior recognition using CNN-based signal analysis

Meng,

Lei,

Teng

et al. 2024

PeerJ Computer Science

0

View full text Add to dashboard Cite

This article explores the technology of recognizing non-cooperative communication behavior, with a specific emphasis on analyzing communication station signals. Conventional techniques for analyzing signal data frames to determine their identity, while precise, do not have the ability to operate in real-time. In order to tackle this issue, we developed a pragmatic architecture for recognizing communication behavior and a system based on polling. The method utilizes a one-dimensional convolutional neural network (CNN) to segment data, hence improving its ability to recognize various communication activities. The study assesses the reliability of CNN in several real-world scenarios, examining its accuracy in the presence of noise interference, varying lengths of interception signals, interferences at different frequency points, and dynamic changes in outpost locations. The experimental results confirm the efficacy and dependability of the convolutional neural network in recognizing communication behavior in various contexts.

show abstract

Link 11 Network Simulation Based on OMNeT++

Cited by 3 publications

References 4 publications

Performance evaluation of mixed SCTP and TCP traffic over last hop wifi

Performance evaluation of mixed SCTP and TCP traffic over last hop wifi

Performance evaluation of mixed SCTP and TCP traffic over last hop wifi

Communication behavior recognition using CNN-based signal analysis

Contact Info

Product

Resources

About