Dynamic Congestion Control in Information-Centric Networking Utilizing Sensors for the IoT

Sukjaimuk, Rungrot; Nguyễn, Quang Ngọc; Sato, Toru

doi:10.1109/tenconspring.2018.8691983

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…A network system is proposed in [23], where the authors concentrate on information centric networking based architecture instead of existing transmission control protocol/internet protocol (TCP/IP) based architecture. Here a dynamic congestion control mechanism is used to transmit the data packet.…”

Section: Related Workmentioning

confidence: 99%

Priority based flow control protocol for internet of things built on light fidelity

Vatsala

Chitradurga

2022

IJECE

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<span>Excessive usage of Internet by most of the applications that use internet of things (IoT) has resulted in need for high bandwidth network. Light fidelity (LiFi) is one such network having bandwidth in terms of GigaHertz, but LiFi has a limited propagation range hence it can be deployed only in the local area. When IoT nodes are connected using LiFi network in the local area they start pushing large data to the cloud there by arising need for flow control. Some of the IoT applications such as patient monitoring systems and nuclear systems, generate critical data. The protocol for flow control in this case should be based on priority of data since critical data with high priority have to be transmitted first. We develop a flow control protocol named priority based flow control protocol (PFCP) by providing priority to flows that carry critical data especially in IoT system that use LiFi network. We evaluate performance of different transmission control protocol (TCP) variants and modify TCP variant that yields maximum goodput according to the priority based protocol developed and demonstrate that flows that carry critical data are given priority compared to non-prioritized flows</span>

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Section: Related Workmentioning

confidence: 99%

Priority based flow control protocol for internet of things built on light fidelity

Vatsala

Chitradurga

2022

IJECE

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“…The polling‐TCPW achieved enhanced throughput and reduced transmission delay of RLC with a guaranteed system stability. Sukjaimuk et al 12 implemented a dynamic congestion control for a hierarchical information‐centric network model for IoT sensor network. Similarly, literature abounds with lots of research efforts where queuing models have been deployed to solve congestion problems.…”

Section: Related Workmentioning

confidence: 99%

Using priority queuing for congestion control in IoT‐based technologies for IoT applications

Oyewobi

Djouani

Kurien

2020

Int J Communication

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The Internet of Things (IoT) connect millions of devices in diverse areas such as smart cities, e-health, transportation and defense to meet a wide range of human needs. To provide these services, a large amount of data needs to be transmitted to the IoT network servers. However, the IoT networks suffer from limited resources such as buffer size, node processing capabilities, and server capacities adversely affecting throughputs, latency, and energy consumption.Additionally, the ensuing heavy network traffic due to large amount of data transmitted results in congestion which degrades IoT network performance.Therefore, innovative congestion control techniques, e.g., queue management approach needs to be developed to overcome congestion problems in IoT networks. In this paper, a novel priority queuing technique (Npqt++) is developed to control congestion in IoT networks. The Npqt++ implements a preemptive/nonpreemptive discipline with a discretion rule to classify network traffic based on their real-time requirement into priority groups. If the discretion rule for low priority packets is satisfied, high priority packets are pushed to the front of the queue; otherwise, they wait in the queue. Our approach significantly outperforms existing techniques in terms of throughput, delay, and energy consumption.

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Prioritizing flows for internet of things built on visible light communication

Vatsala,

Vidyaraj,

Rashmi

2024

Int. j. inf. tecnol.

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Dynamic Congestion Control in Information-Centric Networking Utilizing Sensors for the IoT

Cited by 5 publications

References 17 publications

Priority based flow control protocol for internet of things built on light fidelity

Priority based flow control protocol for internet of things built on light fidelity

Using priority queuing for congestion control in IoT‐based technologies for IoT applications

Prioritizing flows for internet of things built on visible light communication

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