Internet of Reliable Things: Toward D2D-enabled NB-IoT

Malarski, Krzysztof Mateusz; Moradi, Farnaz; Ballal, Kalpit Dilip; Dittmann, Lars; Ruepp, Sarah

doi:10.1109/fmec49853.2020.9144704

Cited by 9 publications

(5 citation statements)

References 33 publications

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“…Malarski et al 23 investigated the advantages of enabling device‐to‐device connectivity for narrowband‐IoT applications in general. They concentrated on ensuring dependability and Quality of Services (QoS) parameters for important IoT use cases.…”

Section: Related Work and Novelty Of Our Work In Comparison With The ...mentioning

confidence: 99%

An application of meta‐heuristic and nature‐inspired algorithms for designing reliable networks based on the Internet of things: A systematic literature review

Gong

2023

Int J Communication

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The widespread use of Internet of Things (IoT) in various wireless sensor networks applications has increased their importance in recent years. IoT is a smart technology that connects anything anywhere at any time. These smart objects, which connect the physical world with the world of computing infrastructure, are expected to permeate all aspects of our daily lives and revolutionize a number of application domains such as healthcare, energy conservation, and transportation. As wireless networking expands, the disadvantage of wireless communication is clearly obvious. People's apprehension over the IoT's dependability has therefore skyrocketed. IoT networks' key requirements are dependability, channel security, fault tolerance, and reliability. Monitoring the IoT networks depends on the availability and correct functioning of all the network nodes. Recent research has proposed promising solutions to address these challenges. This article systematically examines recent articles that use meta-heuristic and nature-inspired algorithms to establish reliable IoT networks. Eighteen articles were analyzed in four groups. Results showed that reliable enhancement mechanisms in IoT networks increase fault node detection, network efficiency, and lifetime and attain energy optimization results in the IoT concept. Additionally, it was discovered in the literature that the current studies focus on how to effectively use edge network capabilities for IoT application executions and support, along with the related needs.

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Section: Related Work and Novelty Of Our Work In Comparison With The ...mentioning

confidence: 99%

An application of meta‐heuristic and nature‐inspired algorithms for designing reliable networks based on the Internet of things: A systematic literature review

Gong

2023

Int J Communication

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“…These include access management, device management, application enablement, and service analysis capabilities [45]. Device-to-device (D2D) communication [46] can also be implemented when there is a need for communication between lamp posts and vehicles in the context of the Internet of Vehicles (IoV) systems [47]. Different protocols like MQTT and CoAP can be used as per the requirement.…”

Section: System Descriptionmentioning

confidence: 99%

Design and Implementation of a Real-Time Street Light Dimming System Based on a Hybrid Control Architecture

Takruri,

Thulasingam,

Attia

et al. 2023

International Journal of Distributed Sensor Networks

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Smart street LED lighting systems have received much attention driven by the need to save energy and the dramatic advances in the Internet of Things. This work proposes a new smart street lighting system that adaptively changes the street lights’ intensity based on traffic and weather conditions and provides a platform for monitoring road conditions and detecting lamp faults. The system transfers the data using the UDP protocol over NBIoT radio technology. It also maintains two-way communication between the luminaires and the central node. In order to ensure real-time response to traffic and avoid dimming delays, each light is locally controlled by a microcontroller based on the sensed traffic and weather data. The measurements of each luminaire are also sent to the central control node to locate lamp faults, detect emergency situations, and, if needed, broadcast on/off messages to the whole network’s luminaires. The system was implemented in a suburban street in Ras Al Khaimah. Evaluations proved that the system can locate and detect faulty lamps and vary the light intensity in real time based on traffic. It also resulted in energy savings of up to 55% compared to a normal LED street light network.

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“…Nonetheless, non-3GPP radio access technologies are one of the main enablers of D2D. Besides the aforementioned BLE, the Wi-Fi Direct also allows for a direct link among devices [38].…”

Section: F Practical Aspectsmentioning

confidence: 99%

D2D Assisted Q-Learning Random Access for NOMA-Based MTC Networks

et al. 2022

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Machine-type communications (MTC) should account for half the connections to the internet by 2030. The use case massive MTC (mMTC) allows for applications to connect a massive number of low-power and low-complexity devices, leading to challenges in resource allocation. Not only that, mMTC networks suffer under rigid random access schemes due to mMTC ultra-dense nature resulting in poor performance. In this sense, this paper proposes a Q-Learning-based random access method for massive machine-type communications, with device clustering and non-orthogonal multiple access (NOMA). The traditional NOMA implementation increases spectral efficiency, but at the same time, demands a larger Q-Table, thus slowing down convergence, which is known to be a highly detrimental effect on massive networks. We use pre-clustering through short-range device-to-device technology to mitigate this drawback, allowing devices to operate with a smaller Q-Table . Furthermore, the previous selection of partner devices allows us to implement a full-feedback-based reward mechanism so that clusters avoid time slots already successfully allocated. Additionally, to cope with the negative impact of system overload, we propose an adaptive frame size algorithm to run in the base station (BS). It allows adjusting the frame size to the network load, preventing idle slots in an underloaded scenario, and providing extra slots when the network is overloaded. The results show the great benefits in terms of throughput of the proposed method. In addition, the impact of the use of clustering and the size of the clusters, as well as the frame size adaptation, are analyzed.

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Internet of Reliable Things: Toward D2D-enabled NB-IoT

Cited by 9 publications

References 33 publications

An application of meta‐heuristic and nature‐inspired algorithms for designing reliable networks based on the Internet of things: A systematic literature review

An application of meta‐heuristic and nature‐inspired algorithms for designing reliable networks based on the Internet of things: A systematic literature review

Design and Implementation of a Real-Time Street Light Dimming System Based on a Hybrid Control Architecture

D2D Assisted Q-Learning Random Access for NOMA-Based MTC Networks

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