Congestion Control Mechanism Based on Dual Threshold DI-RED for WSNs

Li, Suoping; Xu, Qianyu; Gaber, Jaafar; Dou, Zufang; Chen, Jinshu

doi:10.1007/s11277-020-07676-6

Cited by 9 publications

(7 citation statements)

References 22 publications

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“…This research introduces an innovative congestion control strategy for WSNs that relies on a router buffer's cache state featuring a dual threshold. 1 The approach primarily monitors the channel transmission state using queuing length and transmission rate as essential indicators. The approach utilizes a dual threshold approach, incorporating the double index random early detection (DI-RED) model to enhance network performance.…”

Section: Literature Surveymentioning

confidence: 99%

DIRED: Dual Indicator Random Early Detection for Congestion Control in WSN

Jadhav,

Jadhav

2024

Int J Communication

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SummaryWireless Sensor Networks (WSNs) find applications in diverse fields such as environmental monitoring, healthcare, and military surveillance. Nonetheless, one of the primary challenges encountered by WSNs is congestion. Congestion arises in WSNs when there is a high volume of traffic on the network, leading to significant repercussions. These repercussions encompass packet loss, heightened latency durations, and diminished network efficiency. This paper presents an innovative congestion control mechanism named Dual Indicator Random Early Detection (DIRED). DIRED leverages two indicators, namely queue length and packet loss rate, to dynamically adjust the dropping probability of packets, thereby mitigating congestion and enhancing network performance. For the successful execution of the DIRED model, a congestion control algorithm is introduced. This strategy efficiently prevents the deterioration of network performance that can commonly arise from extremely low packet drop probabilities. Simulations are conducted to evaluate the proposed DIRED model, comparing it with the KACO and KFOA techniques. The results demonstrate that DIRED outperforms KACO and KFOA in terms of network performance, achieving a more optimal balance between performance metrics and packet‐dropping probability.

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Section: Literature Surveymentioning

confidence: 99%

DIRED: Dual Indicator Random Early Detection for Congestion Control in WSN

Jadhav,

Jadhav

2024

Int J Communication

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“…In real radio channels, it is inevitable that vehicle terminals will experience error codes due to fading, noise, path loss, and congestion [13], so studying protocol performance under nonideal channels becomes essential. Te authors of [9,[14][15][16][17] analyzed the throughput and delay of the system under the error-prone channel.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of IEEE 802.11p Protocol in IoV under Error-Prone Channel Conditions

Gaber

et al. 2023

Security and Communication Networks

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The complexity of the channel condition in the Internet of vehicles (IoV) may increase the bit error rate (BER) of the intelligent vehicle terminals, resulting in data transmission failures or errors. Therefore, it is necessary to improve the performance of communication protocols under error-prone channel conditions. This article investigates the influence of the access categories’ (ACs) performance with channel errors by using four A C s to cause service differentiation based on the enhanced distributed channel access (EDCA) mechanism of the IEEE 802.11p. To address the error-prone characteristics of the channel and unsaturated traffic conditions, a three-dimensional Markov model is developed first, followed by an analysis of the characteristics and mutual transition probabilities of the seven classes of states in the model, and then, the steady-state equations of the system are developed to derive the steady-state distribution to study system performance. The model considers the backoff phase, the freezing of the backoff counter, the retransmission limit, the probability of collisions occurring, the size of the maximum and minimum contention window, and the number of interframe intervals. These parameters are chosen to meet the requirements for the protocol to operate, while also preventing overestimation of throughput and avoiding having packets being served all the time. We derive expressions for the throughput and delay of A C s under the conditions of error channels and unsaturated traffic. The impact of channel errors on the throughput and delay of A C s is evaluated by numerical simulation. Numerical results show that too many stations in the system will increase the average access delay and decrease throughput. The increase in BER will seriously decrease the performance of high-priority A C s . The throughput of the A C s is also modeled to vary with frame length and BER, and the variation curves of the optimal frame lengths for A C 3 and A C 2 were obtained.

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“…Consequently, this motivates the investigation of our study, as observed in Table 1, which summarizes aspects considered by the literary works and shows what are new in this paper compared to the current results. This paper considers the physical layer and data link layer mechanism, traffic of multi-type burst, congestion control based on the random early detection (RED) [18] algorithm to evaluate the QoS of SUs. In addition, we also take the channel model at the physical layer into consideration.…”

Section: B Related Workmentioning

confidence: 99%

Performance Analysis of Cognitive Radio Networks With Burst Dynamics

et al. 2021

IEEE Access

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The impact of the traffic characteristics of secondary users (SUs) on the performance of cognitive radio networks (CRNs) should be understood for designing operation rules. This paper focuses on multi-type burst services and network congestion problem in CRNs and evaluates the QoS of SUs based on multiple cross-layer considerations. A two-state Markov-modulate Bernoulli process (MMBP-2) is adopted to model packet flows of SUs with different burst degrees in CRNs. We propose a two-dimensional discrete queuing model to consider spectrum access, burstiness of traffic, network congestion, channel environment, user activity and finite buffer. We construct an iterative algorithm to compute the steady-state distribution of the proposed queuing model and determine the performance metrics like the throughput, the average delay, the average queue length and the total packet loss probability. Numerical analysis evaluates the QoS of SUs under different burst environments. INDEX TERMSCognitive radio networks, burst traffic, network congestion, queuing model, twodimensional Markov chain, performance evaluation.

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Congestion Control Mechanism Based on Dual Threshold DI-RED for WSNs

Cited by 9 publications

References 22 publications

DIRED: Dual Indicator Random Early Detection for Congestion Control in WSN

DIRED: Dual Indicator Random Early Detection for Congestion Control in WSN

Performance Analysis of IEEE 802.11p Protocol in IoV under Error-Prone Channel Conditions

Performance Analysis of Cognitive Radio Networks With Burst Dynamics

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