Ensuring Quality of Service in the Internet of Things

Tanganelli, Giacomo; Vallati, Carlo; Mingozzi, Enzo

doi:10.1007/978-3-319-58190-3_9

Cited by 19 publications

(8 citation statements)

References 21 publications

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“…Tanganelli et al 18 investigated solutions for QoS support at the application layer (protocols and platforms) and the network layer (wireless communication standards for IoT which have built‐in QoS support) and identified a few use cases in which QoS support is required for proper operation. They argued that the existing studies implement QoS support only from the perspective of those individual layers.…”

Section: A Brief Discussion and Summary Of Related Workmentioning

confidence: 99%

QoS‐aware IoT networks and protocols: A comprehensive survey

Dilek

Irgan

Guzel

et al. 2022

Int J Communication

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Summary The vast number of smart cloud applications that communicate with the “things” over a variety of physical networks and communication protocols contribute to the rise of complexity in Internet of Things (IoT) systems. The diversity of end‐user requirements related to the volume of generated data, its variety, and the velocity of its transmission makes quality of service (QoS) provisioning even more crucial and challenging in IoT. This paper provides a comprehensive and up‐to‐date survey of QoS support in IoT networks and communication protocols. An analysis of the QoS‐aware IoT architectures, layer‐dependent QoS metrics, and network resource optimization methods utilized in IoT systems are given. The limitations of the current state‐of‐the‐art studies for efficient delivery of QoS metrics are discussed. The paper concludes with future research directions on end‐to‐end QoS provisioning in IoT.

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Section: A Brief Discussion and Summary Of Related Workmentioning

confidence: 99%

QoS‐aware IoT networks and protocols: A comprehensive survey

Dilek

Irgan

Guzel

et al. 2022

Int J Communication

View full text Add to dashboard Cite

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“…Low Latency IoT use-cases require information to be delivered reliably with minimal latency thus requiring highly responsive communication and network infrastructure. The true benefits of IoT in smart high tech environment can only be realized if their required communication needs are met in a satisfactory way [117]. Current communication requirements of an IoT network are met through multiple technologies including cellular, WiFi, Bluetooth, ZigBee and LoRa which involve centralized as well as user-centric (distributed) control of wireless resources.…”

Section: A Low Latency Use-cases In Iot Networkmentioning

confidence: 99%

AI-Enabled Reliable QoS in Multi-RAT Wireless IoT Networks: Prospects, Challenges, and Future Directions

Zia

Chiumento

Havinga

2022

IEEE Open J. Commun. Soc.

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Wireless IoT networks have seen an unprecedented rise in number of devices, heterogeneity and emerging use cases which led to diverse throughput, reliability and latency (Quality of Service) requirements. Fulfilling these diverse requirements in a rapidly changing and dynamic wireless environment is a complex and challenging task. On top of including new technologies and wireless standards, one solution is to deploy cross-layer Design (CLD) and multiple Radio Access Technologies (Multi-RAT) to develop scalable QoS-aware IoT networks. However, the complexity of such solutions is high as it involves complex inter-layer interactions and dependencies and inter-application dependencies in multi-RAT networks. Moreover, the wireless environment is very dynamic, so having an optimal constellation of parameters is a challenging task. In this paper, we address the possibilities of using Artificial Intelligence (AI) and Machine Learning (ML) to address these high dimensional and dynamic problems. Based on our findings, we have proposed a distributed network management framework employing AI & ML for studying inter-layer dependencies and developing cross-layer design, traffic classification and traffic prediction at the edge devices for reliable QoS in multi-RAT IoT networks. A thorough discussion on future directions and emerging challenges related to our proposed framework has also been provided for further research in this field.INDEX TERMS QoS in IoT networks, AI & ML for cross-layer design, cross-layer optimization, reliable QoS, multi-RAT networks, edge intelligence.

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“…In settings such as eHealth, smart industrial, and smart grid systems, a failure to adhere to QoS requirements that leads to going beyond the required delay bounds or a failure in transmission can very well result in the loss of human lives and economic losses. 43 This makes addressing any possible challenges in meeting QoS constraints in 6G wireless networks and coming up with appropriate solutions a priority. Consequently, such challenges in meeting the stringent QoS requirements of 6G are grouped together in terms of bandwidth, connectivity, packet loss, time latency and throughput, and discussed in the following subsections.…”

Section: Qos In 6g Wireless Networkmentioning

confidence: 99%

Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

Ahmed

Mahmood

Matin

2022

Trans Emerging Tel Tech

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The 6G wireless network with its superior capabilities must be considered to accommodate the much more stringent quality of service (QoS) requirements of the numerous emerging applications and services in the future. Attempting to adhere these constraints raise various challenges that are required to be addressed and solved in order to realize the vision of a fully intelligent and automated future society. This article provides the key enabling technologies and future applications for 6G networks followed by a discussion on QoS. It also presents a state-of-the-art survey on the challenges faced while trying to meet the QoS requirements regarding the time latency, throughput, connectivity, packet loss, and bandwidth, together with possible solutions to handle various constraints. A discussion on user satisfaction estimation from QoS analysis is also included. Finally, the article concludes with future research opportunities in meeting the QoS constraints of the 6G network.

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Ensuring Quality of Service in the Internet of Things

Cited by 19 publications

References 21 publications

QoS‐aware IoT networks and protocols: A comprehensive survey

QoS‐aware IoT networks and protocols: A comprehensive survey

AI-Enabled Reliable QoS in Multi-RAT Wireless IoT Networks: Prospects, Challenges, and Future Directions

Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

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