An Improved Adaptive CoAP Congestion Control Algorithm

Ouakasse, Fathia; Rakrak, Said

doi:10.3991/ijoe.v15i03.9122

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…An acceptable CC approach for CoAP was proposed [11] to ensure safe system operation and optimal resource use. The RTO value used in each transaction was calculated by applying a refined CC scheme.…”

Section: Literature Surveymentioning

confidence: 99%

An Improved Congestion Handling in Blockchain Secured Cloud Based Healthcare System

2024

IJIES

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Nowadays, blockchain-based healthcare systems have gained more attention for handling a huge amount of patient health data observed by Internet-of-Things (IoT) systems. Several studies have focused on integrating blockchain technology with healthcare systems to ensure the secrecy and transparency of patient data. Among these, an enhanced eHealthChain system has been designed, which comprises Enhanced OAuth (EOAuth) 2.0 to enhance user security based on their trust score. It also applies a Constrained Application Protocol (CoAP) to achieve reliable transmission by controlling congestion in the network according to the Retransmission Timeout (RTO). However, the CoAP causes long inactive latency in the network, and the backoff values are constant, which do not differ in dynamic network settings. Hence, this article proposes an Enhanced CoAP (ECoAP), which adopts adaptive RTO estimation with an Adaptive Backoff Factor (ABF), Data Loss Rate (DLR) estimation, and a Refined Random Early Identification (RREI) scheme for Congestion Control (CC) in dynamic network configurations. This can be useful to reduce the number of retransmissions by predicting the variable backoff values. Moreover, this protocol achieves effective queue management and regulation of backoff values based on congestion levels. Finally, the implementation findings exhibit that the ECoAP outperforms the classical CoAP for secure and reliable transmission in blockchain-enabled clinical IoT systems. The results revealed that the proposed system achieves 24.6% unsuccessful transmissions, 4.64 seconds average service time, 0.2264 seconds average network delay, 94.96% average server usage, 16.9% average Quality of Experience (QoE), 92.4% confidentiality, 86.5% authorization, and 93.9% data integrity for 2500 transmissions.

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Section: Literature Surveymentioning

confidence: 99%

An Improved Congestion Handling in Blockchain Secured Cloud Based Healthcare System

2024

IJIES

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“…We have classified the mechanisms based on the approach used to control network congestion -RTO, queue-monitoring, and rate-based mechanisms. The protocols CoCoA [2], CoCoA+ [3], CoCoA-E [4], 4-State Strong CoCoA [5], Enhanced CoCoA [6], pCoCoA [7], RTT-CoAP [9], improved adaptive CoAP [8], CACC [12], FASOR [13], CoCoA++ [15], CoAP Eifel [10], AdCoCoA [11], DCC-CoAP are RTO based congestion control mechanisms. Back pressure [17] and bird flock [16] are queuemonitoring-based congestion control mechanisms.…”

Section: Congestion Control Mechanisms For Coapmentioning

confidence: 99%

“…Ouakasse and Rakrak's protocol [8] uses the fraction of packets lost (PLR) to adjust the value of RTO for every retransmission. Initially, the RTO value is set to a random value ranging from 2 to 3 seconds.…”

Section: Improved Adaptive Coapmentioning

confidence: 99%

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A Survey on Congestion Control Protocols for CoAP

Deshmukh¹,

Raisinghani²

2022

Int. j. commun. netw. inf. secur.

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The Internet of things (IoT) comprises things interconnected through the internet with unique identities. Congestion management is one of the most challenging tasks in networks. The Constrained Application Protocol (CoAP) is a low-footprint protocol designed for IoT networks and has been defined by IETF. In IoT networks, CoAP nodes have limited network and battery resources. The CoAP standard has an exponential backoff congestion control mechanism. This backoff mechanism may not be adequate for all IoT applications. The characteristics of each IoT application would be different. Further, the events such as unnecessary retransmissions and packet collision caused due to links with high losses and packet transmission errors may lead to network congestion. Various congestion handling algorithms for CoAP have been defined to enrich the performance of IoT applications. Our paper presents a comprehensive survey on the evolution of the congestion control mechanism used in IoT networks. We have classified the protocols into RTO-based, queue-monitoring, and rate-based. We review congestion avoidance protocols for CoAP networks and discuss directions for future work.

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“… In CoAP, the reliable transmission of data over UDP is done using confirmation message, which increases the accuracy[16].Problems It is a subset extension of HTTP, therefore, it is not compatible while making multiple connections. It is also unidirectional in nature and based on the client-server model [16].  Security is also a major concern in CoAP.It doesn't have a reliable standard for security architecture [17].…”

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confidence: 99%

A Comparison of Various IoT Application Layer Protocol

Thakur,

Kumari

2022

American Journal of Electronics & Communication

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Data communication over the internet is highly swayed by protocols. So, the protocols have a very crucial role in data communication. Similarly, for the Internet of things (IoT) enabled devices the protocols have also an important role. In the Application-layer of IoT-enabled devices, the protocols have a significant role in the transfer of data from server to IoT devices and vice versa. There are different protocols are there, some are taken from web based internet protocols like Hyper Text Transfer Protocol (HTTP), Transmission Control Protocol (TCP), User Datagram Protocol (UDP), etc. And some are exclusively developed for IoT devices like Message Queue Telemetry Transport (MQTT), Constraint Application Protocol (CoAP), etc. IoT-enabled devices need a lightweight, secure and fast protocols for the transfer of data. When IoT enabled devices are developed there are limited number of protocols developed for communication of IoT devices. Various protocols are developed to fulfil the need of users but they have some advantages as well as disadvantages. In this paper, analysis of the performance and comparision of these protocols through different scenarios are given.

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An Improved Adaptive CoAP Congestion Control Algorithm

Cited by 8 publications

References 16 publications

An Improved Congestion Handling in Blockchain Secured Cloud Based Healthcare System

An Improved Congestion Handling in Blockchain Secured Cloud Based Healthcare System

A Survey on Congestion Control Protocols for CoAP

A Comparison of Various IoT Application Layer Protocol

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